Related skills:
Kubernetes DevOps Linux Microservices
Infrastructure as CodePythonLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.

Skills

  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

.NetC#Entity Framework Core

Experience and Skills

  • 8+ years of backend development experience, with recent hands-on expertise in .NET 8+ and modern hosting models.
  • C1 English level or higher.
  • Proven experience leading at least two complete legacy migration cycles in regulated industries such as fintech, taxes, or healthcare.
  • Deep understanding of .NET fundamentals, including .NET Standard compatibility, GC behavior, async patterns, and memory allocation minimization.
  • Advanced database and ORM experience, specifically with EF Core, Dapper, SQL Server or MySQL, and high-volume bulk operations.
  • Strong background in distributed systems architecture, including CQRS, event-driven messaging (SQS, Azure Service Bus, or RabbitMQ), and Redis caching.
  • Experience with migration patterns such as Strangler Fig, Golden Master testing, and parallel runs.
  • Daily experience using Claude Code with structured workflows, token management strategies, and Model Context Protocol (MCP) architectures.

Skills

  • .NET 8
  • C#
  • EF Core
  • Dapper
  • SQL Server
  • MySQL
  • CQRS
  • Redis
  • AWS SQS
  • Azure Service Bus
  • Claude Code
  • MCP

Key Responsibilities

  • Lead the incremental migration of legacy backend systems using the Strangler Fig pattern, feature flags, and parallel runs to ensure zero client-visible incidents.
  • Design and implement production-grade REST APIs in .NET 8+ using Clean Architecture, DDD, and CQRS principles.
  • Expose backend endpoints as secure and reliable MCP tools for AI agents to consume business logic.
  • Own the data access layer, utilizing EF Core for domain operations and Dapper for high-performance read paths.
  • Design caching strategies, messaging patterns, and asynchronous processing to handle seasonal traffic spikes.
  • Implement idempotency, observability, circuit breakers, and other resiliency patterns from day one.
  • Proactively communicate migration scope, technical risks, and trade-offs to non-technical stakeholders.
  • Collaborate daily with AI engineering teams to align on backend and AI integration decisions.

Nice to Have

  • LangChain
  • RAG
  • Datadog
  • OpenTelemetry
  • Terraform
  • Docker
  • Kubernetes
  • AWS

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (LangGraph/LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK).
  • Specialization in at least one major AI platform ecosystem — Google (Gemini, Vertex AI, Gemini Enterprise), Anthropic (Claude, Managed Agents, MCP), or OpenAI (Responses API, AgentKit) — and working experience with one cloud platform (GCP, Azure, or AWS).
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A certification on at least one major AI platform or cloud is a strong differentiator at application. If you do not hold one yet, obtaining one within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Examples: Claude Certified Developer – Foundations (Anthropic), Google Cloud Professional Machine Learning Engineer, Google Cloud Generative AI Leader, Microsoft Azure AI Engineer Associate, or equivalent AWS credentials.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.

Key Capabilities

A strong candidate will bring:

  • Breadth across the full stack, with depth in at least one AI platform
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: React front end, Python/Node service, RAG pipeline, and evals.

This role combines breadth and depth: taking a feature from front end to cloud deployment, plus strong expertise in at least one major AI platform — Google (Gemini), Anthropic (Claude), or OpenAI. You'll have direct client exposure and support junior engineers' growth.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK — ideally with experience taking at least one solution to production on GCP.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Google ADK, LangGraph/LangChain).
  • Strong working experience with GCP; Azure or AWS is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
A Google Cloud certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — Artefact sponsors the exam and gives you time to prepare.

  • Google Cloud Professional Machine Learning Engineer (preferred), covering Vertex AI, generative AI, and production ML.
  • Google Cloud Generative AI Leader is valued as a foundation, complemented by hands-on Vertex AI / Gemini Enterprise delivery experience.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in Gemini Enterprise and the Google AI stack, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


A Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps over enterprise data, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, and evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on Gemini Enterprise and the Google AI Stack

  • Build agents with Gemini models, Vertex AI, ADK, and Agent Engine.
  • Configure Gemini Enterprise: Agent Designer, the Inbox, and agent sandboxes.
  • Connect Gemini Enterprise to client systems via connectors, with proper permissions.
  • Build grounded apps with Vertex AI Search, RAG Engine, Search grounding, and BigQuery.
  • Implement interoperability via A2A and MCP.
  • Track Google's releases and translate new capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, and quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, and infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort with partners.
  • Mentor engineers; contribute to accelerators and engineering standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the OpenAI ecosystem: Responses API or Agents SDK, function calling, and prompt engineering for GPT and reasoning models — ideally with experience taking at least one solution to production (OpenAI API or Azure OpenAI).
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (OpenAI Agents SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform; Azure experience is a strong plus for Azure OpenAI delivery.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications
Certifications are a strong differentiator at application. OpenAI's proctored certification program is still rolling out publicly, so where a formal OpenAI credential is not yet available to you, we expect you to obtain the closest available credential within your first 2 months in the role — Artefact sponsors the exam and gives you time to prepare.

  • OpenAI Academy certifications and badges, as they become generally available.
  • Microsoft Certified: Azure AI Engineer Associate is highly valued for Azure OpenAI delivery.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Experience with realtime/voice APIs, multimodal applications, or fine-tuning at scale.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the OpenAI platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Artefact is looking for a Senior Deployed AI Engineer specialized in the OpenAI ecosystem: embedded with clients, taking AI products from idea to production.

You'll design and build the interfaces, services, and agentic systems at the heart of our client work: conversational apps, agents automating workflows, and pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the OpenAI Platform

  • Build agentic systems on OpenAI: Responses API, Conversations API, Agents SDK, incl. sandboxed execution for long-running tasks.
  • Build and optimize enterprise agents with AgentKit and ChatGPT Enterprise (custom GPTs, connectors, governance).
  • Apply function calling, structured outputs, model selection across GPT/reasoning families per trade-off.
  • Deliver on Azure OpenAI where required: security, networking, quota.
  • Use OpenAI's eval and fine-tuning tooling to improve quality.
  • Track OpenAI's releases and translate capabilities into client value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor junior engineers; contribute to accelerators and standards.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonTypeScriptReact

What We're Looking For

Required Experience

  • 3–5 years of experience in software engineering or data engineering, with extensive hands-on use of AI tools and LLM-based development over the past year (professional projects, internal initiatives, or substantial personal builds).
  • Professional English proficiency (C1/C2 minimum) — mandatory. You will work daily with international clients and colleagues.
  • Strong hands-on experience with the Anthropic ecosystem: Claude API, Claude Agent SDK or Claude Code, and MCP — ideally with experience taking at least one solution to production.
  • Strong programming skills in Python and TypeScript/JavaScript, and experience building and consuming APIs.
  • Experience with front-end development (React or similar) and at least one backend framework.
  • Hands-on experience with RAG, embeddings, and vector search, and with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain).
  • Working experience with at least one cloud platform (GCP, AWS, or Azure); running Claude via Vertex AI or Amazon Bedrock is a plus.
  • Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
  • Experience building and maintaining data pipelines.
  • Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience.

Certifications

An Anthropic certification is a strong differentiator at application. If you do not hold one yet, obtaining it within your first 2 months in the role is a requirement — as a member of our team, Artefact will sponsor your exam and give you time to prepare.

  • Claude Certified Developer – Foundations (Anthropic Certification Program), or a higher-level Claude Certified Architect credential.
  • Anthropic Academy completion certificates (Claude API, MCP, Claude Code) are valued as supporting evidence.

Preferred Experience

  • Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo).
  • Experience with Terraform or CI/CD pipelines.
  • Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Key Capabilities

A strong candidate will bring:

  • Deep expertise in the Anthropic platform, combined with breadth across the full stack
  • Owns features end to end, from interface to infrastructure
  • Cares about evaluation and reliability, not just the happy path
  • Communicates clearly with clients in demos, documents, and code review
  • Client-facing mindset: understands client needs and translates business requirements into technical solutions
  • Learns new tools and models fast, and shares what works

What You'll Do


Our team is looking for Senior Deployed AI Engineers specialized in the Anthropic (Claude) ecosystem: embedded with clients, taking AI products from idea to production.

In this role, you'll design and build the interfaces, services, and agentic systems at the heart of our work: conversational apps, agents automating workflows, and the pipelines supporting them. You own components end to end: front end, service, data, deployment, evals.

Build Full-Stack AI Applications, End to End

  • Develop interfaces in TypeScript/React and backend services/APIs in Python or Node.
  • Implement agentic behavior: orchestration, tool/function calling, memory, guardrails.
  • Build RAG pipelines: ingestion, chunking, embeddings, vector/hybrid search.
  • Connect AI systems to enterprise data via APIs, semantic layers, and MCP.

Go Deep on the Anthropic Platform

  • Build agentic systems with the Claude API and Agent SDK: tool use, extended thinking, prompt caching, citations.
  • Deploy cloud-hosted agents with Claude Managed Agents: sandboxed execution, memory, checkpointing, orchestration, tracing.
  • Build MCP servers/clients connecting Claude to enterprise systems.
  • Make Claude Code core to delivery — skills, subagents, hooks.
  • Deploy Claude via the API, Vertex AI, or Bedrock, choosing Opus/Sonnet/Haiku per trade-off.
  • Track Anthropic's releases and translate capabilities into value.

Make AI Systems Production-Grade

  • Write evals and regression tests; monitor cost, latency, quality.
  • Apply solid practice: version control, review, testing, CI/CD, observability.
  • Deploy on GCP/Azure/AWS using containers, serverless, infra-as-code.
  • Build and maintain data pipelines feeding AI systems.

Work AI-Natively and Client-Facing

  • Use agentic coding tools (Claude Code, Gemini CLI, Codex, Cursor) daily, with good judgment.
  • Communicate progress, trade-offs, and blockers to clients and leads.
  • Support pre-sales: scope solutions, build demos, estimate effort.
  • Mentor engineers; contribute to accelerators and standards.

Preferred Experience


Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo). Experience with Terraform or CI/CD pipelines. Contributions to the MCP ecosystem, published MCP servers, or open-source agentic tooling.

Why Join Artefact


At Artefact, data and AI are not abstract strategy topics. They are tools for creating business value, improving organizations, and helping people make better decisions.
You will join a global community of data and AI experts who combine consulting, engineering, data science, marketing, and technology expertise. You will work on complex, high-impact problems with leading organizations and help shape how enterprises adopt AI responsibly and effectively.
We value action, collaboration, learning, client trust, and shared knowledge. We believe that technology only matters when it is used, adopted, and translated into impact.
PythonAsynchronous ProgrammingData Modeling

Experience and Skills

  • Mid-level experience with 4+ years of professional backend engineering experience.
  • C1 English level or higher.
  • Strong proficiency in Python or a comparable modern backend language.
  • Hands-on experience designing, developing, and maintaining REST APIs and service-oriented architectures.
  • Working knowledge of asynchronous programming, concurrency, and background job processing.
  • Solid experience working with relational databases and data modeling.
  • Familiarity with message queues, worker systems, or event-driven processing.
  • Demonstrated experience writing comprehensive unit and integration tests.
  • Hands-on experience with Unit Testing, Integration Testing, OpenAI, Anthropic, LLM, AWS, Docker, PostgreSQL, Redis.

Skills

  • Python
  • REST APIs
  • Asynchronous Programming
  • Data Modeling
  • Message Queues
  • Unit Testing
  • Integration Testing
  • Solid
  • OpenAI
  • Anthropic
  • LLM
  • AWS
  • Docker
  • PostgreSQL
  • Redis

Key Responsibilities

  • Implement and maintain backend services, REST APIs, and document-processing pipelines under senior engineering guidance.
  • Build concurrent and asynchronous workflows to handle multi-page documents and long-running background tasks.
  • Integrate LLM-powered summarization, document analysis, and structured outputs into backend workflows following established patterns.
  • Develop and support background worker processes with robust error handling, retries, timeouts, and failure recovery.
  • Design and maintain data models tracking relationships between source documents, extracted data, and downstream entities.
  • Participate actively in code reviews, testing, debugging, and production troubleshooting.

Nice to Have

  • PostgreSQL
  • Redis
  • Docker
  • AWS
  • AWS ECS
  • OpenAI API
  • Anthropic API
  • OCR

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

PythonAI AgentsLarge Language Models

Experience and Skills

  • 5+ years of professional software engineering experience, with a proven track record of deploying and maintaining production systems.
  • C1 English level or higher.
  • Strong programming expertise in Python.
  • Hands-on experience building AI agents or agentic workflows using LangChain, LangGraph, Strands Agents, LlamaIndex, CrewAI, or custom frameworks.
  • Experience with MCP servers, tool-calling, function-calling, or similar patterns where AI agents interact with APIs, tools, or backend services.
  • Hands-on experience developing with LLMs using platforms such as OpenAI, Anthropic, AWS Bedrock, or similar providers.
  • Proven experience designing and building robust APIs and microservices using FastAPI or an equivalent framework.
  • Experience deploying, operating, and monitoring services within AWS cloud environments.
  • Experience with Docker, CI/CD pipelines, GitHub Actions, and Terraform or similar infrastructure-as-code tools.
  • Strong understanding of production reliability, observability, debugging, scalability, and technical debt reduction.
Skills
  • Python
  • LLM
  • OpenAI
  • Anthropic
  • AWS Bedrock
  • FastAPI
  • REST APIs
  • AWS

Key Responsibilities

  • Design, develop, and optimize AI-driven systems, agentic workflows, and tool-using agents.
  • Build and maintain MCP servers or similar tool-calling layers that allow AI agents to interact safely with backend APIs, internal services, and business logic.
  • Develop robust AI services and APIs using Python, FastAPI, and modern backend engineering practices.
  • Deploy, operate, monitor, and scale AI applications in AWS environments using services such as Bedrock, Agent Core, Guardrails, Comprehend, ECS, ECR, Lambda, CloudWatch, and related infrastructure.
  • Implement security, validation, guardrails, and prompt-injection mitigation strategies for LLM applications handling sensitive data.
  • Debug, refactor, and stabilize existing production AI and LLM services to improve reliability, maintainability, latency, and performance.
  • Collaborate with frontend teams working with React, TypeScript, Vite, or similar technologies to integrate AI agents with user-facing product experiences.
  • Use CI/CD practices, GitHub Actions, Docker, Terraform, and infrastructure-as-code workflows to support reliable delivery.
  • Communicate technical trade-offs, project progress, risks, and architectural decisions clearly to technical and non-technical stakeholders.

Nice to Have

  • LangGraph
  • LlamaIndex
  • LangChain
  • Docker
  • AWS ECS
  • Gunicorn
  • CloudWatch
  • Vector Databases
  • Semantic Search
  • AWS Textract
  • pytest
  • CI/CD

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.
Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.
Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.
Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.
Retrieval-Augmented GenerationLarge Language ModelsPrompt Engineering

Requerimientos del cargo

  • 4+ years in AI/ML-focused roles delivering software products to production.
  • Hands-on experience with LLMs (OpenAI, Claude, Mistral or open-source alternatives).
  • Experience with AI agent frameworks and/or agentic architectures.
  • Strong knowledge of prompt engineering, embeddings and vector databases.
  • Experience designing and implementing RAG architectures.
  • Experience testing and evaluating AI systems and LLM-powered applications.
  • Strong Python skills and experience building APIs with FastAPI, Django or similar frameworks.
  • Production experience with at least one major cloud platform (AWS, GCP or Azure).
  • Experience with Docker, Kubernetes and Terraform.
  • Solid software engineering fundamentals: testing, code reviews, Git, modular design and maintainable code.
  • Experience deploying, monitoring and maintaining AI systems in production.
  • Hands-on experience with LangChain and Transformers.
  • Ability to work autonomously and communicate effectively with both technical and non-technical stakeholders.
  • Professional English.

Funciones del cargo

You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems, AI agents, copilots and other generative AI applications. You'll fine-tune, evaluate and deploy both proprietary and open-source foundation models, and build scalable APIs and services that integrate AI into applications. You'll own the full lifecycle of AI features, from experimentation and prototyping through deployment and monitoring. You'll work with DevOps on CI/CD and infrastructure as code, and implement observability, error tracking and performance monitoring for AI systems. You'll also contribute to AI architecture discussions, share knowledge and mentor other engineers, and look for new opportunities to bring AI into products. Success means going beyond prototypes: reliable, observable AI features running in production and delivering real business value.

Opcionales

  • MLOps practices and model deployment workflows.
  • AI evaluation and testing tools such as Promptfoo, Giskard or similar.
  • Experience with multi-agent systems.
  • Experience identifying and implementing AI use cases within digital products.

Condiciones

  • 00% remote position for candidates based in Latin America (Brazil, Argentina, Uruguay and Colombia preferred).
  • Full-time, direct hire with the client company.
  • Flexible working schedule.
  • Continuous learning and professional development opportunities.
  • Access to modern AI technologies and development tools.
  • Collaboration with experienced professionals across different technical disciplines.
  • Challenging AI projects and production-grade solutions.
  • Selection process: HR Interview → Technical Challenge → Technical Interview → Offer.
.NetNode.jsSQL

🔍 Requisitos

Buscamos un/a Desarrollador/a Fullstack con experiencia sólida en el desarrollo de frontend y backend. En este proyecto de digitalización, serás responsable de construir y mantener componentes web y PWA, además de colaborar en el desarrollo de APIs y su integración con servicios. Debes contar con conocimientos en arquitecturas modernas y APIs REST, y manejar control de versiones con GitLab y/o GitHub.

Valoramos también la capacidad de trabajar de forma colaborativa en equipos ágiles, el enfoque en la entrega y la responsabilidad sobre la calidad del software.

🚀 Principales responsabilidades

  • Desarrollo de interfaces web y apps móviles (PWA) con Angular y/o Ionic
  • Implementación de UI con HTML5, CSS3, JavaScript y Bootstrap
  • Desarrollo y mantenimiento de APIs con NodeJS y NestJS
  • Trabajo con contenedores (Docker, Kubernetes)
  • Integración y desarrollo en tecnologías como .NET, C# o Python según necesidad
  • Gestión de bases de datos SQL (SQL Server, Oracle) y NoSQL (MongoDB, Redis, etc.)
  • Despliegue y operación en Google Cloud Platform (GCP)
  • Uso de herramientas de IA como apoyo al desarrollo

✨ Deseable

  • Experiencia usando contenedores y orquestación con Docker y Kubernetes
  • Experiencia con despliegue y operación en Google Cloud Platform (GCP)
  • Conocimiento adicional en bases de datos SQL/NoSQL (por ejemplo, SQL Server, Oracle, MongoDB, Redis)
  • Experiencia integrando soluciones con tecnologías .NET, C# o Python
  • Uso de herramientas de IA como apoyo al desarrollo

🤝 Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

PythonLinuxDocker

Requisitos y habilidades

Buscamos un/a SRE / DevOps Engineer Junior con 1 a 3 años de experiencia en roles de SRE o DevOps. Requisitos técnicos: experiencia intermedia en Cloud (AWS, GCP o Azure), Terraform intermedio, Docker y Linux intermedios. Conocimientos en CI/CD y automatización (Bash o Python). Deseable experiencia en observabilidad y resolución de problemas en producción. Competencias blandas: proactividad, orientación a resultados, trabajo en equipo y capacidad de aprendizaje continuo. Se valorarán certificaciones en nube y herramientas de automatización.

Responsabilidades

  • Implementación de Infraestructura como Código (IaC) con Terraform para entornos de producción y staging.
  • Automatización de entornos y despliegues para garantizar entregas rápidas y confiables.
  • Operación de servicios en la nube (principalmente AWS) y gestión de incidentes/operaciones 24x7.
  • Soporte en monitoreo, alertamiento e RCA de incidentes; mejora continua de la observabilidad.
  • Mantenimiento de pipelines de CI/CD y documentación técnica actualizada.

Deseable

Experiencia práctica con Kubernetes, herramientas de monitoreo (Prometheus, Grafana, CloudWatch), scripting avanzado (Python), y conocimientos en seguridad en nube. Capacidad de trabajar en entornos dinámicos y con clientes de diversos sectores.

Beneficios y próximo pasos

En BC Tecnología promovemos un entorno de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura impulsa el crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
Modalidad híbrida ubicada en Las Condes, que facilita combinar trabajo remoto y presencial para un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
KubernetesTerraformAWS

Experience and Skills

  • 5+ years of experience in platform engineering, DevOps, or Site Reliability Engineering (SRE).
  • C1 English level or higher.
  • Strong hands-on experience with Kubernetes, containerization, and cloud infrastructure (AWS and/or Azure).
  • Deep expertise in Infrastructure as Code using Terraform, including module design and CI/CD integration.
  • Solid Linux/Unix skills and comfort working primarily via CLI — bash/zsh, SSH, DNS, routing, and network diagnostics.
  • Active use of LLM-based development tools (e.g., Claude Code, Gemini CLI) in your daily engineering workflow.
  • Proven ability to take a complex infrastructure problem from ambiguity to a fully adopted, production-grade solution.

Skills

  • Kubernetes
  • Terraform
  • AWS
  • Azure
  • Linux
  • Bash
  • Docker
  • CI/CD
  • LLM Tooling
  • Networking

Key Responsibilities

  • Own and deliver platform components end-to-end, including Terraform modules, Kubernetes capabilities, cloud patterns, and CI/CD workflows.
  • Design and build self-service infrastructure workflows and internal developer tools — APIs, CLIs, or agent-accessible interfaces — that remove manual bottlenecks for engineering teams.
  • Create observable, feedback-rich platforms that enable automated systems to self-correct and give teams real visibility into what's happening.
  • Implement guardrails, secrets hygiene, and audit trails to maintain security and safety at scale.
  • Produce clear documentation and runbooks that serve both human developers and AI agent operations.
  • Present and drive adoption of new platform capabilities across engineering teams through strong developer UX and proactive collaboration.

Nice to Have

  • GitOps
  • ArgoCD
  • FluxCD
  • Helm
  • OPA
  • Conftest
  • API Design
  • MCP Integration
  • Observability

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

AWSTerraformDocker

Experience and Skills

  • 5+ years of dedicated DevOps, Systems, or Platform Engineering experience.
  • C1 English level or higher.
  • Deep engineering expertise in AWS and advanced automated provisioning using Terraform.
  • Production experience with Docker and Kubernetes, specifically Amazon EKS.
  • Proven track record of building and managing robust automated CI/CD deployment pipelines.
  • Strong understanding of hybrid cloud-to-edge networking, including VPNs, AWS Direct Connect, and network segmentation.
  • Direct experience with edge fleet deployment, over-the-air (OTA) updates, and remote configuration management.
  • Hands-on experience with secrets management platforms and complex AWS IAM or multi-tenant access controls.
  • Expertise setting up comprehensive telemetry systems (metrics, logs) and tracking data-gap or replication issues.

Skills

  • AWS
  • Terraform
  • Docker
  • Kubernetes
  • Amazon EKS
  • CI/CD
  • Hybrid Networking
  • AWS IAM
  • Secrets Management
  • Telemetry

Key Responsibilities

  • Design, build, and maintain production-ready cloud environments using Infrastructure as Code (IaC) with Terraform.
  • Manage and scale containerized applications across cloud clusters (Amazon EKS) and distributed edge sites.
  • Architect and monitor secure, segmented network pathways linking distributed edge assets to the cloud.
  • Oversee deployment, patching, and remote configuration management for edge hardware fleets.
  • Implement centralized identity access management, secrets storage, and end-to-end monitoring metrics for data pipelines.

Nice to Have

  • MQTT
  • HiveMQ
  • EMQX
  • Industrial Cybersecurity
  • Purdue Model

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

Google Cloud PlatformKubernetesCI/CD

Que necesitamos de ti

  • Seas egresada o egresado de Ingeniería Informática o carrera afín (de al menos 8 semestres).
  • Experiencia en GCP.
  • Conocimiento de pipelines CI/CD.
  • Experiencia con Linux.
  • Experiencia en gestión de contenedores con Docker y Kubernetes.
  • Experiencia con Infraestructura como Código (Terraform, Pulumi u otro).
  • Experiencia gestionando redes cloud (VPC, subredes, balanceadores, DNS) e IAM.
  • Experiencia con GIT.
  • Leer en inglés sin Google Translator ni IA.
  • Se requiere al menos 2 años de experiencia en roles similares.

Que harás con nosotros

  • Diseñar, implementar y mantener infraestructura en la nube, considerando VMs, Kubernetes, redes e IAM.
  • Construir y mantener pipelines CI/CD y automatizar despliegues mediante Infraestructura como Código (Terraform, Pulumi u otras).
  • Administrar y operar contenedores, orquestando despliegues y escalamiento de recursos según demanda.
  • Diseñar y mantener servicios de alta disponibilidad (multi-zona, multi-región, balanceo de carga y failover).
  • Gestionar backups, capacidad y continuidad operativa de la infraestructura.
  • Colaborar con equipos de desarrollo para optimizar procesos y mejorar la infraestructura existente, priorizando eficiencia y confiabilidad.
  • Realizar monitorización, resolución de incidencias y evaluación de nuevas tecnologías que potencien la operación en la nube y la automatización de CI/CD.

Sumas puntos si

  • Certificaciones cloud (GCP Professional Cloud Architect, AWS Solutions Architect u otras).
  • Experiencia con arquitecturas de continuidad operacional (DR, Pilot Light, Warm Standby).
  • Cuentas con conocimientos o experiencia en el rubro de inversiones.
  • Conocimientos en AWS.
  • Experiencia en pipelines CI/CD en GitLab.
  • Conocimientos de Seguridad TI.

Beneficios

  • Excelente clima laboral junto a un gran equipo.
  • Seguro complementario de salud, incluyendo dental, catastrófico y vida.
  • Amplias posibilidades para aprender del rubro de inversiones.
  • Incentivo al ahorro previsional voluntario (APV).
  • Buena relación vida/trabajo.

Si vienes a la oficina:

  • Vestimenta casual
  • Estacionamiento para bicicletas
  • Y un buen café!
La empresa queda ubicada en pleno centro de Providencia, a pasos del metro.
LinuxVirtualizationAutomation

Technology stack

Linux

  • Debian, Ubuntu, Talos
  • Proxmox, KVM
  • Ansible, Terraform
  • Zabbix, Prometheus, Grafana, Telegraf, VictoriaLogs, VictoriaMetrics
  • Docker, Docker compose

Network

  • TCP/IP including IPv4 and IPv6 core (L2, L3)
  • VLANs, QinQ, MPLS
  • iptables, Shorewall
  • BGP
  • Experience with configuration and troubleshooting of Cisco/Aruba/Arista or similar switches

Description & Key Responsibilities


Description

We are looking for a Senior Linux & Network Platform Engineer who can take full ownership of our infrastructure stack, from bare-metal Linux servers and networking. This is a senior hands-on role with a strong architectural and leadership component. You will drive our platform strategy, define best practices, ensure reliability at scale, and mentor developers on platform aspects.

Key Responsibilities

  • Architect, build and maintain Linux-based server environments with a strong focus on reliability, security and performance.
  • Administer and maintain enterprise Linux environments (Debian, Ubuntu, Talos).
  • Manage and maintain virtualization environments, including platforms such as Proxmox and KVM.
  • Configure and maintain Linux networking components, including VLANs, routing configurations, bonding and firewall rules.
  • Implement and maintain automation scripts and configuration management using tools such as Ansible and Terraform. Design and operate network infrastructure (switches, routers, firewalls, VPN, routing, VLANs, HA topologies).
  • Define and enforce infrastructure standards, system hardening, automation and access policies.
  • Lead troubleshooting and incident response across compute, network and storage layers.
  • Implement automation for provisioning, patching and configuration management.
  • Establish high-availability, backup and DR strategies across environments.
  • Drive documentation quality, operational runbooks and infrastructure governance.

Desirable


  • Optional: IS-IS
  • Optional: experience with configuration of Mikrotik and Fortigate firewalls

Benefits:


We focus on meaningful ownership and measurable outcomes. You will work on a platform that empowers developers, improves release reliability, and enables continuous automation across the SDLC. We will support a culture where reliability engineering, observability, and SLO-driven thinking are part of everyday execution. You will have the opportunity to shape standards for CI/CD, containerization, Kubernetes operations, and immutable environments while contributing directly to tools and processes that increase developer productivity.
GitHub ActionsTerraformDocker

¿Qué harás con nosotros?

Tu misión se divide en tres pilares estratégicos:

Arquitectura Serverless y Automatización

  • Diseñarás y evolucionarás arquitecturas serverless en AWS(Lambda, API Gateway, SQS, SNS) para nuevos servicios y para ir reemplazando nuestro monolito.
  • Automatizarás ciclos de despliegue con IaC y GitHub Actions para acelerar la entrega de software.
  • Crearás templates reutilizables de IaC y pipelines para que cada equipo los adopte sin depender de ti.
  • Investigarás y desplegarás automatizaciones basadas en agentes de IA para optimizar procesos internos y eliminar tareas manuales.

Seguridad Cloud y Platform Engineering

  • Serás dueño/a de la seguridad de nuestra infraestructura: detección de tráfico anómalo, gestión de secretos, IAM y respuesta ante incidentes.
  • Construirás herramientas y plataformas internas para que los equipos de Dev se autogestionen (piensa: crear un repo o una API con el estándar ya aplicado, en un par de clics).
  • Implementarás y auditarás políticas de gobernanza de forma autónoma, no solo en el papel.

Observabilidad, Confiabilidad y Costos

  • Mantendrás sistemas de monitoreo y alertas con CloudWatch, Graphana u otras herramientas con foco en detección proactiva, no reactiva.
  • Participarás en la resolución de incidentes con cultura post-mortem: causa raíz y prevención, no parches.
  • Monitorearás costos de forma continua. Actuarás como referente técnico, empoderando a los equipos de desarrollo en el uso óptimo de AWS.

¿Cómo usarás IA en el día a día?

  • Usarás IA de forma integrada a tu flujo real de trabajo: agentes, MCPs o skills, especialmente en tareas de análisis, automatización y desarrollo.
  • Investigarás y desplegarás automatizaciones basadas en agentes de IA para optimizar procesos internos y eliminar tareas manuales.

Tu misión en Alegra

Como Cloud Engineer, serás el responsable end-to-end de mejorar, optimizar y monitorear nuestra infraestructura, asegurando las plataformas internas que usan los equipos de desarrollo de Alegra para moverse rápido y sin fricción. No buscamos a alguien que solo "mantenga la nube funcionando" — buscamos alguien proactivo que implemente, asegure y lleve el ecosistema al siguiente nivel de principio a fin, combinando la rigurosidad del cumplimiento de seguridad con la curiosidad de la Inteligencia Artificial.

¿Qué esperamos de ti?


Hard Skills & Stack

  • 4 a 5 años operando infraestructura de nube (como Cloud Engineer, DevOps, SRE o Platform Engineer).
  • Dominiode arquitecturas serverless con herramientas como Lambda, API Gateway, SQS, SNS, ECS, EC2, S3, Aurora y VPC. (o sus equivalentes)
  • Conocimiento en diseño de APIs REST y arquitecturas de microservicios.
  • Experiencia sólida en Terraform, GitHub Actions y despliegues con Docker.
  • Familiaridad con motores SQL y NoSQL (MySQL, DynamoDB, MongoDB, PostgreSQL).
  • Nivel intermedio (B1/B2) para lectura técnica, documentación y tutoriales.

Soft Skills & Mindset

  • Curiosidad Activa: Pasión por las tendencias emergentes y por experimentar con nuevas herramientas.
  • Ownership: Capacidad para empoderarte de tu rol y trabajar de forma autónoma en un entorno ágil.
  • Colaboración: Habilidades de comunicación asertiva para trabajar en equipo y recibir/dar feedback constructivo.
  • Analítica: Capacidad para resolver errores complejos con un enfoque estructurado.

En Alegra te encontrarás con…


Cultura AI-Fist:

  • Licencias de herramientas de IA.
  • Hackathon internos de innovación con IA.
  • Capacitación continua y espacios de experimentación con nuevas tecnologías.
  • Un equipo donde usar IA no es opcional, es la norma.

Modalidad de trabajo

  • Trabajo 100% remoto con relación laboral estable.
  • Coworking mensuales con el equipo local.

Desarrollo profesional:

  • Plan de carrera y oportunidades para seguir desarrollando tus habilidades.
  • Acceso a plataformas educativas, cursos con certificaciones y una biblioteca virtual.
  • Clases de inglés.

Bienestar:

  • Programas de bienestar y charlas sobre hábitos saludables.
  • Dos días de cuidado al año adicionales a tus vacaciones.

Beneficios y experiencias

  • Apoyo económico para mejorar tu espacio de trabajo.
  • Celebración de cumpleaños con un bono económico y medio día libre.
  • Un equipo con talento de distintos países y culturas.
Infrastructure as CodeAWSCloud Monitoring

Requerimientos del cargo

  • Formación: Licenciatura en Informática o campo relacionado.
  • Experiencia: Mínimo 3 años de experiencia en computación en la nube, con un enfoque destacado en AWS.
  • Habilidades blandas: Habilidades de resolución de problemas y capacidad para trabajar en entornos dinámicos.
  • Habilidades técnicas:
    • AWS (Amazon Web Services): Experiencia sólida en la implementación y gestión de soluciones en la nube utilizando servicios de AWS.
    • Networking: Conocimientos en configuración y gestión de redes dentro de un entorno de infraestructura en la nube (subredes, VPN, VPC, etc.)
    • Infraestructura Multi-región y Alta Disponibilidad (HA): Implementación de soluciones de alta disponibilidad y recuperación ante desastres en AWS.
    • Terraform: Automatización de la infraestructura como código con Terraform.
    • AWS Lambda (Python): Desarrollo y mantenimiento de funciones Lambda utilizando Python para aplicaciones sin servidor.
    • Amazon EC2, S3, RDS, VPC, IAM, CloudWatch, CloudFormation, Route 53: Experiencia en el uso de estos servicios de AWS para administrar infraestructura.
    • Monitoreo y Gestión de Logs: Uso de herramientas como CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana) para monitoreo y análisis de logs.
    • Seguridad en la nube: Implementación de buenas prácticas de seguridad en AWS, incluyendo control de acceso, cifrado y auditoría.

Funciones del cargo

  • Evolución y Arquitectura de la Infraestructura: Evaluar de forma crítica la infraestructura actual y liderar su evolución. Tu misión será robustecer nuestra arquitectura en la nube (AWS), asegurando que el ciclo de vida de los recursos diarios (creación, modificación, operación y eliminación) se ejecute bajo estándares rigurosos de alta disponibilidad, resiliencia y alineación absoluta con el negocio.
  • Consolidación de la Automatización (IaC): Tomar nuestras prácticas actuales de infraestructura como código (ej. CloudFormation) y control de versiones, y llevarlas al siguiente nivel de madurez. Buscamos estandarizar y auditar nuestros flujos de aprovisionamiento para que cualquier cambio sea trazable, predecible y metodológicamente impecable.
  • Gobierno y Seguridad Continua: Ir más allá de configurar servicios de seguridad (IAM, KMS). Serás responsable de integrar la seguridad desde el diseño, evaluando proactivamente nuestras políticas para crear cimientos sólidos que preparen a la plataforma para cumplir con los más altos y rigurosos estándares de la industria y la calidad empresarial.
  • Madurez en FinOps y Eficiencia Operativa: Evolucionar nuestro actual control de inventarios y prácticas de gestión de costos. Analizar críticamente la telemetría y el uso de recursos no solo para "apagar lo que no se usa", sino para maximizar la eficiencia operativa, establecer métricas claras y promover una cultura de gasto inteligente.
  • Resiliencia y Mejora Continua (Operaciones): Transformar la gestión tradicional de incidentes en una práctica proactiva. Utilizar nuestro actual ecosistema de alarmas y monitoreo para identificar patrones, aplicando tu criterio técnico para que la resolución de cada problema se convierta en una mejora estructural y preventiva a largo plazo.
  • Evangelización Técnica y Alineación: Ser un puente estratégico entre los equipos de desarrollo, operaciones y producto.

Deseables

  • Certificación AWS (Solutions Architect, SysOps Administrator, etc.)
  • Serverless Framework: Experiencia con arquitecturas serverless.
  • Kubernetes: Gestión y orquestación de contenedores con Kubernetes.
  • GitOps: Uso de herramientas como ArgoCD o Flux para la gestión de infraestructura a través de Git.
  • CI/CD Avanzado: Uso de Jenkins, CircleCI o GitLab para implementar pipelines de integración continua y despliegue continuo.
  • Automatización y Orquestación: Familiaridad con CI/CD, scripting (Python, Bash) y gestión de configuraciones.
  • Contenedores Docker: Experiencia con Docker y su integración en un entorno de Kubernetes.

Condiciones

  • Celebra tu cumpleaños 🎉
  • Nos preocupamos en mantener una cultura de trabajo profesional con respeto y compromiso.
  • Trabajar con un equipo diverso de profesionales en un entorno ágil y colaborativo.
  • Modalidad 100% remoto.
  • Se trabaja adaptados a los horarios y feriados de Chile.
  • 15 días de vacaciones por año.
  • Horario de trabajo de lunes a jueves de 09:00 a 18:00 hrs, y viernes de 09:00 a 15:30 hrs.
MQTTAWS ECSDocker

What we’re looking for

  • Strong hands-on experience with AWS infrastructure and cloud architecture.
  • Professional experience working with AWS IoT Core.
  • Strong understanding of MQTT and IoT communication patterns.
  • Experience with AWS ECS, Docker, and containerized workloads.
  • Experience migrating workloads between AWS services.
  • Strong knowledge of AWS networking, IAM, security policies, certificates, and service-to-service authentication.
  • Experience with monitoring and observability tools such as CloudWatch.
  • Production troubleshooting and infrastructure support experience.
  • Infrastructure as Code experience with Terraform, CloudFormation, or CDK.
  • Experience building and maintaining CI/CD pipelines for AWS workloads.
  • Ability to work confidently with existing production systems and perform infrastructure changes with minimal downtime.

What you’ll do

  • Rework and configure AWS IoT Core infrastructure to support new hardware and firmware.
  • Configure and manage MQTT communication between connected devices and AWS.
  • Build monitoring capabilities and operational dashboards for device connectivity, health, and status.
  • Enable secure remote device actions, including OTA firmware updates, device restarts, and remote configuration.
  • Review and improve device provisioning, authentication, certificates, policies, and overall IoT security.
  • Migrate AWS workloads that are reaching end-of-life or are no longer the right fit, including migrations from AWS App Runner to ECS.
  • Support and improve AWS infrastructure, deployment pipelines, monitoring, logging, and alerting.
  • Support the migration of existing email infrastructure from AWS to Microsoft Azure while maintaining current application integrations and automated workflows.
  • Troubleshoot production infrastructure and collaborate with engineering teams to safely implement architectural changes.
  • Work with firmware and hardware teams when needed to support the connected-device ecosystem.

Nice to have

  • Experience with OTA firmware update architectures.
  • Experience managing large fleets of connected or embedded devices.
  • Experience with AWS IoT Jobs, Device Shadow, Rules Engine, or Fleet Management.
  • Experience with Microsoft Azure, particularly email/communication services and integrations.
  • Experience building operational dashboards for IoT/device monitoring.
  • Experience working directly with embedded systems, firmware, or hardware engineering teams.

Benefits

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs.
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea.
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo.
  • Mucho más.
C#.NetAWS

Experience and Skills

  • 8+ years of professional software engineering experience, including 5+ years designing and supporting large-scale production systems.
  • C1 English level or higher.
  • Expert-level development experience with C# and ASP.NET.
  • Deep understanding of distributed systems architecture, REST APIs, and service-oriented architectures.
  • Strong hands-on experience with AWS infrastructure and Docker-based environments.
  • Proven experience with Redis or other high-performance caching systems.
  • Solid experience with CI/CD pipelines, deployment automation, and system observability (monitoring, logging, alerting).
  • Strong troubleshooting, debugging, and production support skills for systems with strict uptime requirements.

Skills

  • C#
  • .NET
  • ASP.NET
  • AWS
  • Docker
  • Redis
  • REST APIs
  • Distributed Systems
  • CI/CD
  • Observability

Key Responsibilities

  • Serve as the technical owner of OMS infrastructure and related backend services, leading architectural decisions and establishing technical standards.
  • Design, develop, and maintain high-availability backend services using C# and .NET technologies.
  • Optimize application performance, resource utilization, and system scalability to handle demanding production workloads.
  • Manage AWS infrastructure, Docker environments, and CI/CD workflows while implementing robust monitoring, logging, and disaster recovery procedures.
  • Lead incident response, perform root-cause analysis for production outages, and ensure system stability.
  • Review pull requests, mentor developers, and enforce engineering best practices across the team.
  • Support broker, exchange, and market data integrations, collaborating on real-time and algorithmic trading infrastructure.

Nice to Have

  • OMS
  • Fintech
  • Low-Latency
  • Multi-threading
  • Algorithmic Trading
  • Message Queues
MicroservicesLangChainPython

Experience and Skills

  • 4+ years of professional software engineering experience with a strong foundation in backend or full-stack development.
  • C1 English level or higher.
  • Solid programming skills in Python.
  • Hands-on experience building AI/LLM applications using frameworks like LangChain, LlamaIndex, or CrewAI.
  • Experience connecting and working with LLM APIs such as OpenAI, Anthropic, AWS Bedrock, or Azure OpenAI.
  • Proven experience developing APIs using FastAPI, Flask, or Django.
  • Familiarity with cloud environments and containerization using Docker.
  • Experience with Git and GitHub.

Skills

  • Python
  • LangChain
  • LlamaIndex
  • CrewAI
  • FastAPI (o Flask / Django)
  • OpenAI API / Anthropic API
  • AWS Bedrock / Azure OpenAI
  • Docker
  • Git / GitHub
  • FastAPI
  • Flask
  • Django
  • OpenAI API
  • Anthropic API
  • AWS Bedrock
  • Azure OpenAI
  • Git
  • GitHub
  • APIs
  • Backend Development
  • Cloud Computing

Key Responsibilities

  • Design and develop AI-driven applications, features, and conversational interfaces.
  • Integrate Large Language Models (LLMs) into core products using modern orchestration libraries.
  • Build and maintain robust backend APIs and microservices to support AI functionalities.
  • Collaborate with frontend and product teams to deliver smooth AI-powered user experiences.
  • Monitor, debug, and optimize LLM calls to improve latency, cost, and response quality.

Nice to Have

  • Pinecone / ChromaDB / Qdrant / pgvector
  • LangGraph / Pydantic AI
  • GitHub Actions (CI/CD)
  • Pinecone
  • ChromaDB
  • Qdrant
  • pgvector
  • LangGraph
  • Pydantic AI
  • GitHub Actions
  • CI/CD
  • Vector Databases

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

AngularJavaScriptTypeScript

Experience and Skills

  • 5+ years of professional software development experience, with a strong focus on frontend technologies.
  • C1 English level or higher.
  • Proven expertise in Angular, JavaScript, TypeScript, and Next.js.
  • Solid experience with state management libraries such as Redux, Context API, MobX, Zustand, or Recoil.
  • Strong understanding of RESTful APIs, GraphQL, and asynchronous programming techniques.
  • Experience with version control systems like Git and a solid grasp of UI/UX principles, responsive design, and cross-browser compatibility.

Skills

  • Angular
  • JavaScript
  • TypeScript
  • Next.js
  • State Management
  • REST APIs
  • GraphQL
  • Git

Key Responsibilities

  • Design, develop, and maintain complex, responsive web applications using Angular, JavaScript, TypeScript, and Next.js.
  • Collaborate closely with product managers, designers, and backend developers to translate business requirements and wireframes into reliable technical solutions.
  • Build reusable components and frontend libraries to ensure consistency and scalability across multiple projects.
  • Optimize web applications for maximum speed, scalability, SEO, and accessibility using Server-Side Rendering (SSR), Static Site Generation (SSG), and lazy loading.
  • Integrate RESTful and GraphQL APIs efficiently to manage data flow.
  • Conduct comprehensive code reviews, troubleshoot complex technical issues, and mentor junior team members.

Nice to Have

  • React
  • Webpack
  • Vite
  • Jest
  • Cypress
  • Tailwind CSS
  • CI/CD
  • Docker
  • AWS

Benefits

We provide the opportunity to participate in impactful and technically rigorous industrial data projects that drive innovation and professional growth. Our work environment emphasizes technical excellence, collaboration, and continuous innovation.

Niuro supports a 100% remote work model, allowing flexibility in work location globally. We invest in career development through ongoing training programs and leadership opportunities, ensuring continuous growth and success.

Upon successful completion of the initial contract, there is potential for long-term collaboration and stable, full-time employment, reflecting our long-term commitment to our team members.

Joining Niuro means becoming part of a global community dedicated to technological excellence and benefiting from a strong administrative support infrastructure that enables you to focus on impactful work without distraction.

KotlinJavaSpring Boot

Qué buscamos

Por encima de todo, criterio técnico y buen manejo de patrones de diseño. Que sepas por qué eliges una solución, no solo escribirla.

Imprescindible

  • 3+ años de experiencia backend real, con sistemas tuyos en producción.
  • Kotlin y/o Java (JVM) con soltura en Spring Boot — o framework JVM equivalente (Quarkus, Micronaut) si tienes disposición a trabajar en Spring — y PostgreSQL u Oracle
  • Patrones de diseño, SOLID y clean architecture aplicados de verdad: separas responsabilidades y piensas en mantenibilidad.
  • Estás a tope con la IA: usas LLMs en tu día a día y quieres llevarlos a producto.
  • Experiencia con APIs REST, testing y Git en equipo.
  • Ownership: has llevado sistemas a producción y los has mantenido vivos, no solo hecho MVPs.
  • Autonomía total para trabajar en remoto y resolver problemas de negocio, no solo tickets.
  • Disponibilidad de solapamiento con horario de España (CET) al menos hasta las 18:00 CET (ver "Horario" abajo).

En remoto: Importante que tu jornada solape con la nuestra al menos hasta las 18:00 hora española. En la práctica, para Colombia/Perú/Ecuador significa empezar tu jornada por la mañana temprano local; para Argentina/Chile/Uruguay, un arranque de mañana normal. El resto de tu jornada la organizas tú: por resultados, no por silla.

En el día a día

  • Diseñas técnicamente componentes e integraciones: decides la arquitectura, no solo la implementas.
  • Coges features de principio a fin y las llevas hasta producción.
  • Escribes tests y cuidas la calidad del código.
  • Integras con sistemas externos: envíos, pagos, marketplaces, APIs de terceros.
  • Llevas LLMs a producto real, no a una demo.
  • Das mantenimiento y evolución a lo que ya está vivo.

Muy valorable

  • Angular / TypeScript para tocar también el front.
  • Experiencia en logística, inventario, WMS o ERP.
  • TDD y prácticas de testing sólidas (unitario e integración).
  • CI/CD y desarrollo seguro.
  • Microservicios, colas/eventos (Kafka o similar), Docker.
  • Cloud (AWS/GCP/Azure).

Qué ofrecemos

  • Colaboración estable y de larga duración como contractor independiente full-time (40 h/semana).
  • 2.500 – 2.900 EUR/mes según seniority (aprox. 2.900 – 3.400 USD), pago mensual puntual en tu moneda vía plataforma internacional (Remote.com), sin retrasos y con contrato claro.
  • Revisión a los 6 meses. Entras y, si aportas, subes rápido: aquí no hay que esperar años ni pelear cada euro.
  • Presupuesto de formación y acceso a las herramientas de IA de pago que usamos.
  • Aprendes nuestro método AI-First, que multiplica lo que produce una sola persona.
  • Proceso de selección serio y rápido: respuesta en días, no en meses, y la prueba técnica final es remunerada.
PHPSymfonyBackend Development

REQUIRED QUALIFICATIONS

  • 10+ years of professional software development experience
  • Expert-level backend development experience
  • Extensive professional experience with PHP
  • Strong experience with Symfony or comparable enterprise PHP frameworks
  • Proven experience designing the architecture of complex production applications
  • Strong understanding of object-oriented programming, design patterns, and software architecture
  • Advanced SQL and relational database experience
  • Experience designing, building, documenting, and maintaining RESTful APIs
  • Strong understanding of application security, performance, scalability, and reliability
  • Experience debugging difficult issues across large, interconnected systems
  • Solid professional experience with JavaScript and TypeScript
  • Working knowledge of React and Next.js
  • Experience with Git, code reviews, testing, deployment, and modern development workflows
  • Experience successfully taking ownership of major projects from planning through production
  • Ability to evaluate an existing system and improve it without unnecessarily rebuilding everything
  • A consistent history of delivering stable, maintainable, production-quality software

This position requires strong conversational English.

You do not need to speak perfect English, but you must be able to communicate clearly and efficiently during live video calls with our US-based leadership and engineering teams. You must be comfortable discussing technical problems, asking questions, explaining your decisions, providing updates, and raising concerns before they become larger issues.

Written communication alone is not sufficient for this role.

  • You are a genuinely senior engineer who can solve difficult problems independently
  • Backend architecture and complex business logic are among your strongest skills
  • You can examine unfamiliar code, understand it quickly, and make responsible improvements
  • You think beyond whether the code works and consider security, scalability, maintainability, and business impact
  • You communicate proactively and do not disappear when a problem becomes difficult
  • You ask thoughtful questions before making major technical decisions
  • You accept feedback professionally and can respectfully challenge ideas when you see a better solution
  • You deliver what you commit to and communicate early when priorities or timelines need to change
  • You are comfortable being accountable for important production systems
  • You maintain a high standard for your own work without requiring constant supervision
  • Delivering reliable, production-quality software that solves meaningful business problems
  • Becoming a trusted technical leader within the engineering team
  • Improving the stability, performance, security, and scalability of our platform
  • Making our existing codebase easier and safer to maintain
  • Reducing technical debt while continuing to deliver valuable new products
  • Helping other developers make better technical decisions
  • Communicating clearly with both technical and non-technical leadership
  • Taking ownership of challenging projects and carrying them through completion

WHAT YOU’LL DO

  • Design, build, and maintain complex backend systems using PHP and Symfony
  • Make sound architectural decisions that support scalability, reliability, security, and long-term maintainability
  • Develop APIs, integrations, background processes, automation workflows, and complex business logic
  • Work within a large existing codebase and quickly understand how interconnected systems operate
  • Modernize legacy applications without disrupting critical business operations
  • Diagnose and resolve difficult performance, data, infrastructure, and application issues
  • Design and optimize relational databases, queries, and data structures
  • Integrate third-party platforms, APIs, AI models, and automation tools
  • Contribute to frontend applications built with React, Next.js, JavaScript, and TypeScript
  • Take ownership of projects from technical planning through deployment and ongoing support
  • Review code and help establish strong engineering standards
  • Mentor other developers and provide technical leadership when needed
  • Collaborate directly with leadership, product stakeholders, and other engineers
  • Clearly explain technical problems, recommendations, timelines, and tradeoffs

ADDITIONAL EXPERIENCE WE VALUE

  • AWS or other cloud infrastructure experience
  • Experience integrating AI models or LLMs into production applications
  • Experience with custom CMS or CRM platforms
  • Experience modernizing large legacy systems
  • CI/CD pipeline and production deployment experience
  • Docker and containerized development environments
  • Elasticsearch, OpenSearch, or other search technologies
  • Background jobs, queues, caching, and event-driven systems
  • Automated testing and quality assurance practices
  • Experience leading technical projects or mentoring engineers
  • Experience working on a small, senior team where individual ownership matters
TypeScriptNode.jsMongoDB

Requisitos técnicos

  • Experiencia intermedia en React.js, TypeScript y Node.js.
  • Conocimientos en APIs RESTful y MongoDB.
  • Manejo de Git y Docker.
  • Experiencia o conocimientos en procesos de CI/CD.
  • Conocimientos básicos de seguridad de software y buenas prácticas OWASP.
  • Familiaridad con servicios Cloud como AWS o Google Cloud Platform.
  • Experiencia práctica utilizando herramientas de IA para desarrollo, tales como GitHub Copilot, ChatGPT, Claude, Cursor o similares.
  • Conocimientos básicos de prompts, embeddings, vectorización, búsqueda semántica y RAG.

Principales responsabilidades

  • Desarrollar y mantener funcionalidades frontend utilizando React.js y TypeScript.
  • Implementar servicios backend y APIs utilizando Node.js.
  • Diseñar, desarrollar y consumir APIs RESTful.
  • Trabajar con bases de datos NoSQL, principalmente MongoDB.
  • Aplicar buenas prácticas de desarrollo, seguridad, autenticación y calidad de código.
  • Participar en procesos de integración y despliegue continuo (CI/CD).
  • Utilizar herramientas de IA como apoyo en codificación, refactorización, debugging, documentación y testing.
  • Validar técnicamente las respuestas y el código generado por herramientas de Inteligencia Artificial.
  • Colaborar con equipos de desarrollo, producto y otras áreas involucradas.

Conocimientos deseables

  • GraphQL y Redis.
  • Arquitecturas orientadas a eventos.
  • Mensajería y procesamiento asíncrono.
  • Integración de APIs de modelos de lenguaje (LLM).
  • Experiencia incorporando funcionalidades de Inteligencia Artificial en aplicaciones.
RESTful APISQLNoSQL

What we are looking for

  • English — required: professional working proficiency in spoken and written English. You must be comfortable participating actively in meetings, discussing technical decisions, collaborating through written channels, and understanding technical documentation.
  • Experience: at least 5 years of proven experience as a Fullstack Developer, with the autonomy to own deliverables and make technical decisions.
  • Frontend: strong command of HTML, CSS, modern JavaScript (ES6+), and solid experience with Angular.
  • Backend: solid experience with Java and Spring Boot.
  • Data and APIs: experience with SQL and/or NoSQL databases, RESTful API design, and third-party service integrations.
  • Tools: strong Git skills and collaborative development best practices.
  • AI-assisted development: hands-on experience using Claude Code effectively, with the judgment to review, test, and improve AI-generated code.

What you will do

  • Design, develop, and maintain end-to-end functionality for the product dashboard and backend.
  • Translate requirements and UI/UX designs into clear, responsive, and reusable Angular interfaces.
  • Build and maintain backend services using Java and Spring Boot.
  • Design, integrate, and document secure RESTful APIs, and manage SQL and/or NoSQL databases.
  • Implement unit and integration tests, and actively participate in code reviews.
  • Use Claude Code to explore the codebase, implement changes, debug, refactor, and document, while always validating the proposed solution.
  • Collaborate with the team on technical decisions and propose improvements to architecture, quality, and development processes.

Nice to Have

  • Previous experience working on fintech products or financial platforms.
  • Experience building dashboards or data-intensive applications.
  • Familiarity with Docker, CI/CD pipelines, and cloud environments.
  • Knowledge of application security and secure development practices.
  • Experience working in consulting, project-based, or distributed teams.

What We Offer

  • 100% remote work within the Americas time zones.
  • Opportunity to contribute to a fintech project from its early stages.
  • Autonomy and direct involvement in technical decisions.
  • Collaborative and agile working environment.
  • Continuous professional development and learning opportunities.
ReactNext.jsTypeScript

Qualifications and requirements

  • Strong professional experience with React, Next.js, TypeScript and modern JavaScript.
  • Experience building and debugging production web applications and customer-facing user flows.
  • Ability to investigate difficult issues across frontend code, APIs, backend services, browser behavior and third-party integrations.
  • Node.js experience and an understanding of REST APIs, databases, authentication and server-side application behavior.
  • Experience writing automated tests, preferably with Playwright or another end-to-end browser-testing framework.
  • Experience with product analytics, session replay, error tracking or production-monitoring tools.
  • Practical Linux, Docker, Git and CI/CD experience.
  • Experience working with e-commerce applications, carts, checkout flows, payments or related integrations.
  • Regular, effective use of AI development tools such as Codex, Claude Code, Cursor or similar systems.
  • Ability to understand, test and verify AI-generated work rather than accepting it without review.
  • Strong problem-solving, written communication and documentation skills.
  • Able to work independently while communicating clearly with a small founder-led team.
  • Fluent professional English.
  • Available approximately 40 hours per week with at least four daily hours overlapping Eastern Time.
  • Comfortable beginning with a paid technical trial before transitioning into a long-term role.

Job functions

  • Diagnose and fix production React, Next.js and TypeScript bugs affecting storefront reliability and conversion.
  • Investigate cart, checkout, promotion, mobile and browser-session failures.
  • Improve PostHog event tracking, funnels, session replay, error monitoring and alerts.
  • Build Playwright end-to-end tests for critical customer journeys and configure BrowserStack coverage.
  • Develop and maintain frontend features, backend services and third-party integrations.
  • Help manage Linux servers, Docker environments, CI/CD pipelines, networking and cloud infrastructure.
  • Support GPU machines, locally hosted AI models and internal AI coding-agent workflows.
  • Use AI development tools effectively while reviewing, testing and understanding all resulting code.
  • Document root causes, technical decisions and regression coverage.
  • Work directly with the founders to prioritize and deliver improvements.

Success will be measured by fewer production regressions, faster issue resolution, stronger automated test coverage, more reliable analytics and demonstrable improvements to customer experience and conversion.

Desirable skills

  • Medusa.js or another headless-commerce platform.
  • PostHog funnels, event design, session replay, feature flags or experiments.
  • BrowserStack, Sentry or comparable testing and monitoring platforms.
  • Python development and automation.
  • GPU server administration, NVIDIA/CUDA environments or containerized GPU workloads.
  • Deploying or managing self-hosted AI models with tools such as vLLM, Ollama or similar inference systems.
  • Experience with coding agents, MCP tools or multi-agent development workflows.
  • Cloud infrastructure, networking, observability and secrets management.
  • Railway, Cloudflare, PostgreSQL, Redis or comparable services.
  • Buildkite, GitHub Actions or other CI/CD platforms.
  • Payment, shipping, tax, inventory, age-verification or other e-commerce integrations.
  • Performance optimization, Core Web Vitals and conversion-rate optimization.
Back-end ArchitectureDistributed SystemsAPI Development

Qualifications

  • Fluency in English, both spoken and written.
  • 10+ years of professional software engineering experience, with substantial experience building and operating backend systems in production.
  • Deep production-level proficiency in at least two of the following languages or ecosystems:
  • Ruby
  • JavaScript / TypeScript with Node.js
  • Java with Spring Framework
  • Python
  • Strong experience designing, developing, and maintaining APIs and backend services.
  • Strong knowledge of relational database design and operation, particularly MySQL and/or PostgreSQL.
  • Experience analyzing and optimizing database queries, indexes, transactions, and data models.
  • Production experience with Redis and RabbitMQ or comparable caching, messaging, or asynchronous processing technologies.
  • Strong understanding of distributed systems concepts, including concurrency, failure handling, retries, idempotency, consistency, and asynchronous processing.
  • Experience designing and maintaining systems that integrate multiple services, APIs, databases, and external dependencies.
  • Experience building, maintaining, and troubleshooting CI/CD pipelines, including GitHub Actions or equivalent tooling.
  • Production experience with AWS services and cloud-based architectures.
  • Strong working knowledge of Linux environments, including experience troubleshooting applications and infrastructure at the operating-system level.
  • Experience working with legacy systems and modern service-oriented or microservice architectures.
  • Strong understanding of software testing strategies, including unit, integration, and automated testing.
  • Demonstrated experience troubleshooting complex production issues across application, database, infrastructure, and network boundaries.
  • Proven ability to independently own complex technical problems from investigation through production resolution.
  • Ability to evaluate technical trade-offs and make pragmatic architectural decisions based on business and engineering constraints.
  • Experience reviewing technical designs and providing guidance to other engineers.
  • Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
  • Experience working effectively in distributed or remote engineering teams across multiple time zones.
  • Reliable high-speed internet connection suitable for full-time remote work.
  • Availability to support occasional after-hours production issues when required.

What you'll do

Backend Architecture & Technical Leadership

  • Design and evolve backend services, APIs, data models, integrations, and distributed systems.
  • Lead technical design for complex initiatives and evaluate architectural alternatives.
  • Communicate trade-offs around scalability, reliability, performance, security, and maintainability.
  • Identify opportunities to simplify systems, reduce technical debt, and modernize existing architecture.

Software Development & Delivery

  • Design, implement, test, review, and deploy production-quality backend software.
  • Own complex features and services from technical analysis through deployment and production operation.
  • Make pragmatic decisions when working with legacy systems.
  • Balance delivery speed, maintainability, and technical risk.

Distributed Systems & Reliability

  • Work with relational databases, caching, queues, asynchronous processing, APIs, and service integrations.
  • Apply sound judgment around transactions, concurrency, retries, idempotency, failure handling, and data consistency.
  • Identify bottlenecks and improve application, database, and system performance.

Operational & Infrastructure Ownership

  • Take ownership of the operational health of production systems.
  • Improve monitoring, logging, metrics, alerting, CI/CD, and observability.
  • Participate in incident response, root cause analysis, and remediation.
  • Work comfortably with AWS, hybrid infrastructure, Linux, and on-premise environments.

Technical Leadership & Collaboration

  • Provide technical guidance through architecture discussions, code reviews, debugging, documentation, and mentoring.
  • Partner with Engineering, Product, Operations, and QA to translate requirements into reliable technical solutions.
  • Communicate technical decisions, risks, dependencies, and trade-offs clearly across distributed teams.

Nice to have


  • Experience designing high-availability or mission-critical systems.
  • Experience with real-time communications, telecommunications, VoIP, WebRTC, SIP, or related technologies.
  • Experience operating systems with significant production traffic or strict availability requirements.
  • Experience with containerized applications and Docker.
  • Experience with infrastructure-as-code or cloud automation.
  • Experience designing observability strategies using metrics, logs, tracing, and alerting.
  • Experience decomposing or modernizing legacy monolithic systems.
  • Experience mentoring engineers or acting as a technical lead on complex projects.
PythonFastAPIReact

Requisitos técnicos

  • Experiencia desarrollando con Python.
  • Experiencia sólida con FastAPI.
  • Experiencia en desarrollo frontend con React.
  • Conocimientos de JavaScript y/o TypeScript.
  • Experiencia en desarrollo e integración de APIs REST.
  • Manejo de bases de datos como PostgreSQL, MySQL o similares.
  • Manejo de Git y flujos de desarrollo colaborativo.
  • Conocimientos de autenticación y autorización, idealmente JWT/OAuth2.
  • Conocimientos de Docker.

Funciones y responsabilidades

Desarrollar y mantener servicios backend utilizando Python y FastAPI. Diseñar e implementar APIs REST y servicios de integración. Desarrollar interfaces y componentes frontend utilizando React. Integrar frontend con servicios backend y APIs externas. Implementar lógica de negocio y manejo de datos. Trabajar con bases de datos relacionales y/o NoSQL. Participar en diseño técnico y definición de arquitectura de las soluciones. Implementar buenas prácticas de desarrollo, seguridad y calidad de código. Realizar pruebas unitarias, de integración y resolución de incidencias. Trabajar con control de versiones mediante Git. Participar en revisiones de código y metodologías ágiles. Apoyar procesos de despliegue y CI/CD.

Conocimientos valorados

  • Experiencia en arquitecturas de microservicios.
  • Experiencia con AWS, Azure o GCP.
  • Conocimientos de Kubernetes.
  • Experiencia con Redis y procesamiento asíncrono.
  • Manejo de SQLAlchemy y Pydantic.
  • Experiencia con React Query, Redux, Zustand u otras herramientas de gestión de estado.
  • Experiencia implementando pipelines CI/CD.
  • Testing con Pytest, Jest u otras herramientas.
JavaSpring BootPostgreSQL

What We Are Looking For

Exceptional Backend Engineering & Architectural Judgment — 8+ years of professional backend engineering experience at a Senior/Staff/Principal/Architect level, with exceptional hands-on development capability and significant production Java experience. Experience with Spring Boot, Spring Security and Hibernate/JPA strongly preferred.

Deep Relational Data Architecture Expertise — Proven ownership of complex production relational data models at real scale.

Strong System Design & API Architecture Capability — Demonstrated ability to design sophisticated production systems and REST APIs, understand distributed-system tradeoffs, with real experience improving an already-established codebase, not only building greenfield. Strong PostgreSQL experience (Cocoon currently uses Aurora PostgreSQL).

AI-Native Engineering Capability— Demonstrated ability to use modern AI-assisted development tools to materially improve engineering productivity and quality, while applying the technical judgment needed to critically evaluate AI-generated work.

Production Engineering Discipline — Strong understanding of application security, automated testing, observability, reliability, performance and maintainability. Builds systems designed to operate reliably in production, not simply function in development.

Technical Leadership & Independent Judgment — Experience directing senior engineers and serving as a trusted technical authority. Comfortable making consequential decisions with incomplete information, surfacing risks early, challenging assumptions, and recommending a clear path forward.

Production Applied-AI Experience (Highly Preferred) — Meaningful hands-on experience implementing and operating production AI, LLM, agentic, multimodal, or computer-vision capabilities, including architecture, evaluation, retrieval, reliability, and production operations

Strong Cloud & Production Infrastructure Fluency — Experience with AWS-hosted production systems (EC2, S3, RDS/Aurora, IAM, VPC networking), containers, CI/CD and modern cloud deployment architecture.

How You Work

Owner's Mindset, Professional Maturity & Communication

  • Operates like an owner, not a ticket-taker.
  • Takes responsibility for outcomes, moves quickly without sacrificing quality, disagrees productively, communicates clearly, and credibly represents Cocoon with technical and nontechnical stakeholders.

Genuine Engineering Craft

  • Still loves building software and is comfortable operating without a large engineering organization around them.

Thrives in a Startup Environment

  • Acts independently while collaborating effectively within a small team. Knows how to get things done and works quickly without requiring a high degree of oversight.

Core Responsibilities

Technical Architecture & Leadership

  • Serve as Cocoon's primary internal authority on backend architecture, data architecture, system design and engineering quality.
  • Own technical architecture and engineering decisions.
  • Spearhead Cocoon's efforts to integrate AI-driven capabilities into its products, platform and engineering workflows.

Hands-On Backend Engineering

  • Remain deeply hands-on in Cocoon's codebase and personally develop production software.
  • Enter an established codebase, understand it quickly and determine what should be retained, refactored or replaced.
  • Help shape product ideas and requirements alongside Cocoon team members before specifications are finalized.

Data Architecture

  • Lead evolution of Cocoon's existing data architecture into a sophisticated relational domain model.
  • Define schemas, relationships, data-access patterns and integrity standards.
  • Develop safe migration strategies for evolving an active production database.
  • Account for both structured and unstructured information as Cocoon's AI capabilities expand.
  • Build a data foundation capable of supporting substantially greater intelligence, automation and scale over time.

AI-Native Engineering

  • Be AI-native in how you work, actively using AI development tools to improve engineering speed and quality.

Infrastructure & DevOps Oversight

  • Ensure infrastructure decisions remain aligned with Cocoon's application architecture.
  • Maintain appropriate visibility into security, reliability, deployment architecture, performance & cost.
  • Provide technical direction and oversight to Cocoon's outsourced AWS/DevOps engineer.

Enterprise & Partner Technical Leadership

  • As required, represent Cocoon in technical discussions with insurance carriers, technology partners and other external stakeholders.

Why Join Cocoon

  • Meaningful equity options and participation in the company's long-term success
  • Direct working relationship with Cocoon's Founder & CEO
  • Genuine ownership of Cocoon's technical architecture and engineering direction
  • Opportunity to remain deeply hands-on while operating at the highest technical level in the company
  • Small, senior team with substantial individual autonomy and impact
  • Fully remote working environment
  • Opportunity to shape how AI is embedded into both Cocoon's products and engineering organization

Compensation: Competitive compensation + equity options

Node.jsTypeScriptNestJS
Se espera experiencia real en el diseño, definición y evolución de arquitecturas de sistemas, participando activamente en decisiones técnicas y no únicamente en la implementación de funcionalidades.

Node.js + TypeScript.
NestJS o frameworks backend equivalentes.
React / Next.js; idealmente experiencia con Ionic.
APIs REST y arquitecturas orientadas a servicios/microservicios.
PostgreSQL y/o bases relacionales.
MongoDB / DocumentDB u otras bases NoSQL.
Redis.

Arquitectura

DDD.
Arquitectura Hexagonal / Clean Architecture.
Event Driven Architecture.
Experiencia con Kafka, Pub/Sub o tecnologías equivalentes.
Diseño de sistemas distribuidos.
Manejo de concurrencia, idempotencia, retries y consistencia eventual.
Capacidad para definir cuándo usar procesamiento síncrono vs asíncrono.

Cloud / DevOps

Experiencia práctica en AWS, Azure o GCP.
Docker.
CI/CD.
Observabilidad con herramientas como Grafana, Kibana, New Relic o similares.

IA / AI Engineering — deseable

Experiencia integrando LLMs vía API.
RAG.
Vector databases / vector search.
Embeddings.
Agentes y tool calling.

Buscamos un/a Technical Lead Full Stack hands-on, con al menos 5 años de experiencia en desarrollo de software y trayectoria ejerciendo funciones de Technical Lead, Tech Lead o referente técnico dentro de equipos de desarrollo.
El perfil debe contar además con experiencia práctica en al menos uno de los principales proveedores cloud, como AWS, Azure o GCP, junto con conocimientos en Docker, CI/CD y herramientas de observabilidad como Grafana, Kibana, New Relic o similares.
A nivel de liderazgo técnico, esperamos una persona capaz de liderar decisiones de arquitectura, realizar code reviews, definir estándares de desarrollo y guiar técnicamente a desarrolladores senior, semi-senior y junior. Debe tener la capacidad de traducir requerimientos de negocio en soluciones técnicas, identificar deuda técnica, proponer estrategias de evolución y participar activamente en discovery, refinamientos y estimaciones.
También deberá relacionarse de manera fluida con áreas como Product, Arquitectura, Data, Seguridad, DevOps y negocio, teniendo la autonomía y criterio necesarios para cuestionar requerimientos o soluciones cuando técnicamente no sean adecuadas.
Es fundamental que sea un perfil hands-on, que continúe desarrollando, revisando código y participando directamente en la solución técnica. No buscamos un perfil enfocado exclusivamente en gestión o administración.
Como conocimiento deseable, se valorará experiencia en AI Engineering, especialmente integración de LLMs vía API, RAG, vector databases o vector search, embeddings, agentes y tool calling.
En frontend, se requiere manejo de React y/o Next.js, siendo deseable experiencia con Ionic.
C#.NetAWS

Required skills:

  • Strong professional experience with C# and .NET.
  • Experience building backend services, workers, APIs, or distributed processing systems.
  • Strong asynchronous, concurrent, and resilient service design skills.
  • Strong Entity Framework / EF Core experience, including query behavior, DbContext lifecycle, connections, transactions, and performance under concurrency.
  • Hands-on AWS experience and experience evaluating compute, memory, storage, and I/O requirements.
  • Experience diagnosing running services using logs, metrics, resource utilization, and application diagnostics.
  • Experience with Docker, relational databases, and large-file processing.
  • Strong debugging and production troubleshooting skills.

Key responsibilities:

  • Design and implement backend services, workers, and APIs using C# and modern .NET.
  • Build reliable workflows for uploads, metadata, processing state, work dispatch, monitoring, retry, recovery, and completed results.
  • Design safe and efficient asynchronous and parallel processing patterns at production scale.
  • Develop and optimize application-side data access using Entity Framework / EF Core.
  • Diagnose performance across application services, containers, databases, storage, and AWS compute resources.
  • Evaluate CPU, memory, storage, and I/O requirements and help size AWS compute resources using measured workload characteristics.
  • Improve logging, metrics, diagnostics, and health monitoring for production troubleshooting.
  • Develop and maintain Docker/containerized components where appropriate.
  • Participate in architecture, code reviews, automated testing, deployment, and production support.

Nic to have :

  • Experience with large-scale file ingestion or processing pipelines.
  • Experience with database-backed work scheduling or processing-state management.
  • Experience with AWS storage, compute, monitoring, and networking services.
  • Experience with load, scalability, capacity, and distributed-system testing.

Benefits

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
GitMobile developmentBackend Services

WHAT WE ARE LOOKING FOR

Fluent written and spoken English. You will work daily with our US-based founder and need to explain technical decisions and trade-offs clearly.

  • 3+ years of professional software development experience.
  • Strong experience building production web applications, backend services, or mobile apps.
  • Proficiency in at least one modern programming language, and the ability to pick up others quickly.
  • Experience with APIs, databases, Git, testing, and production systems.
  • Ability to investigate unfamiliar systems and make progress independently.
  • A practical, product-oriented mindset: you care whether the whole system works reliably for users.
  • Experience using AI coding tools effectively, including reviewing, testing, and correcting AI-generated code.
  • Availability for significant daily overlap with US Eastern Time.

WHAT YOU WILL DO


  • Improve and extend our Android and iOS apps: fix bugs, improve stability, and ship new features.
  • Develop and maintain our web application, interactive detection map, and backend services.
  • Build features involving maps, drone detections, user accounts, sensor management, historical data, and data visualization.
  • Work with embedded software running on our networked Remote ID receivers.
  • Build internal tools for device provisioning, fleet monitoring, diagnostics, and customer support.
  • Investigate performance and reliability issues across devices, networks, backend, and apps.
  • Turn product ideas and user feedback into working software, working directly with the founder.
  • Write tests and documentation appropriate to each system.
  • Use AI-assisted development tools while staying responsible for quality, security, and correctness.

NICE TO HAVE (NOT REQUIRED)


  • Native Android (Java or Kotlin) and/or native iOS (Swift) strongly preferred; Flutter or React Native also valuable
  • TypeScript, JavaScript, React, or similar web technologies.
  • Python, Node.js, Go
  • PostgreSQL, time-series or geospatial data
  • C/C++ for ESP32 or similar embedded devices
  • Bluetooth Low Energy, Wi-Fi, cellular IoT, MQTT
  • Cloud deployment, containers, CI/CD, monitoring
  • Mapbox, Google Maps, Cesium
  • Drones, aviation, ADS-B, FAA Remote ID

BENEFITS


  • 15 paid vacation days per year + 10 paid US public holidays
  • 100% remote
  • First engineering hire: real ownership and direct work with the founder
  • Hands-on work with hardware, drones, and IoT
PythonDjangoPostgreSQL

What we’re looking for

For us, Senior isn’t a matter of years or of how many technologies you know. It’s how you work:

  • You understand the problem before you solve it. You ask what the business or user actually needs, and sometimes the right answer is not to build anything.
  • You choose the simplest solution that works.
  • To you, complexity is a cost.
  • You make trade-offs explicit and explain your reasoning.
  • You own outcomes, not tasks.
  • You surface risks early, say when a plan is no longer realistic, and see things through after release.
  • You build things others can maintain.
  • Your code is clear, tested and easy to evolve without you in the room.
  • You think about what can go wrong. Failing dependencies, bad data, security and performance are part of the design, not an afterthought.
  • You act like a consultant.
  • You adapt how you communicate to engineers, product and clients, and you bring recommendations, not only problems.
  • You make your team better. You give thoughtful reviews, share what you know and help others grow, without becoming a bottleneck.
  • You keep learning. You get productive in unfamiliar systems and know when to ask for help.
  • You use AI responsibly. It makes you faster, but you understand and validate everything before it ships.
  • 4+ years building backends with Python and Django (Django REST Framework a big plus)
  • Solid experience with PostgreSQL in production, including schema changes on live systems
  • Hands-on experience with background processing (Celery, RabbitMQ, Redis or similar)
  • You’ve built and maintained integrations with third-party APIs and know what happens when they fail
  • You care about testing, code quality and constructive code reviews
  • You’ve supported your own work in production: monitoring, debugging and incidents don’t scare you
  • You’re comfortable in a large codebase shared with many engineers
  • C1 English: you’ll work daily with a US-based team, in meetings and in writing

What you’ll do


  • Build product features end to end on the backend, from the API to the database
  • Connect the platform with hotel suppliers, booking systems, payment providers and AI services, and keep those connections reliable when the other side isn’t
  • Design and run the background jobs that keep bookings, payments and data in sync
  • Evolve the database of a live product without interrupting the people who rely on it
  • Write short technical proposals before big changes, and review your teammates’ work
  • Take your turn on call, help resolve production issues, and leave things better than you found them

Nice to have


  • Experience in the travel industry (hotels, airlines, cruises, booking systems)
  • Experience with payments or financial flows (Stripe, invoicing, payouts)
  • You’ve shipped AI-powered features to real users
  • Familiarity with Docker, Kubernetes or AWS
senioraiengineerreact

Build something people love

Wealthsimple's mission is to help everyone achieve financial freedom – by making financial services simple, transparent, and low-cost. We're Canada's largest fintech, trusted by over 3 million clients with more than $100 billion in assets. We move fast, we own our work, and we care deeply about the people using our products. If that sounds like you, keep reading.

We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work.

About the team

The AI Systems team is focused on building Wealthsimple's first-party AI tools and platforms. We design, develop, and operate the systems that bring AI capabilities directly into the hands of our teams and clients - from intelligent assistants and workflow automation to internal productivity tools powered by large language models.

We're looking for software developers who are excited about building production-grade AI systems end-to-end: from frontend interfaces to backend services, infrastructure to deployment. This isn't a research role - it's a hands-on engineering role where you'll ship real products, collaborate with stakeholders across the company, and continuously evolve our AI platform as the technology and our needs grow.

In this role, you'll have the opportunity to:

  • Design, build, and operate first-party AI tools and platforms that serve internal teams and Wealthsimple clients.

  • Develop full-stack features across React frontends and Golang backend services, delivering complete, production-ready systems.

  • Work closely with stakeholders across product, engineering, operations, and business teams to identify opportunities for AI-driven features and translate them into working software.

  • Build and maintain containerized microservices, ensuring our AI platforms are reliable, scalable, and easy to deploy.

  • Integrate large language models and other AI capabilities into our tools through well-designed APIs and service layers.

  • Contribute to platform architecture decisions, helping shape how AI systems are built and operated at Wealthsimple.

  • Iterate quickly on new features and prototypes, balancing speed of delivery with long-term maintainability.

  • Establish patterns and best practices for AI system development that other teams can adopt.

Our technologies:

  • React for frontend development

  • Golang for backend services

  • Container-based architecture (Docker, Kubernetes)

  • AWS infrastructure

  • PostgreSQL and Redis for data persistence and caching

  • LLM APIs and AI/ML tooling

  • Datadog, Sentry, and Mixpanel for monitoring and observability

  • AI-assisted development workflow

What you bring:

  • Experience building and shipping production software as a full-stack or backend-focused developer.

  • Strong proficiency in Golang and React, or demonstrated ability to ramp quickly on both.

  • Hands-on experience with containerized architectures (Docker, Kubernetes) and cloud-native deployment patterns.

  • Interest in or experience with AI/ML systems, LLM integrations, or building AI-powered products.

  • Ability to work across the full stack - from crafting user interfaces to designing APIs and backend services.

  • A product-oriented mindset: you care about the end-user experience and work with stakeholders to deliver features that solve real problems.

  • Clear communication with both technical and non-technical teams.

  • Comfort operating in a fast-moving environment where priorities and technology evolve quickly.

Nice-to-have's:

  • Experience building developer tools, internal platforms, or productivity software.

  • Familiarity with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or retrieval-augmented generation (RAG) patterns.

  • Background in building event-driven or streaming architectures.

  • Experience with CI/CD pipelines and infrastructure-as-code.

  • Background in financial services or regulated industries.

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

✈️ 90 days away: work outside Canada for up to 90 days per year

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.



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designsys adminpythontechnical

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we’re transforming how products are developed—through intelligent automation, applied AI, data management, and the integration of the world’s largest network of engineering and R&D applications. Joining Rescale means becoming part of a diverse, collaborative, and mission-driven team that’s unlocking faster innovation across industries like aerospace, energy, life sciences, and manufacturing. We’re solving complex challenges that traditional HPC can’t—and we’re seeking passionate, curious minds to help build the next wave of breakthroughs

We are seeking an HPC Engineer to join our team!

At Rescale, this means you will work on and impact:

  • Become an expert in the Rescale platform and its application to customer workflows.

  • Deliver deep technological solutions and support related to some of Rescale’s most powerful features.

  • Publish, manage and optimize complex HPC software for our most demanding customers.

  • Develop and implement processes and best practices associated with HPC services and support.

  • Advocate customer needs internally and working collaboratively with the sales, product and engineering teams to achieve customer success goals and contribute to overall company objectives.

  • Actively work with the customer support team to ensure customer value realization is improved through every interaction to drive increased customer satisfaction and retention.

  • Identify opportunities for increased productivity through automation and tools and implement these solutions.

  • Design and improve processes to drive customer satisfaction by consistently meeting or exceeding commitments to customers and improving quality of deliverables.

  • Provide technical support to our customers, independent software vendors and strategic partners.

  • Solve various problems related to the software customers are running on Rescale, requiring a high level of knowledge of the software and an in-depth knowledge of the environment the software runs in.

  • Maintain the software available on Rescale, including installing and benchmarking the software, and optimizing the software’s performance for the environment it runs in.

What we’re looking for:

  • 2+ years experience with HPC Systems and HPC Applications

    • Experience with Linux/Unix and Windows operating system environments

    • Experience with scripting languages like Bash and Python

    • Interest in cloud computing platforms such as AWS, Azure or Google Cloud

    • General awareness of HPC, schedulers, MPI, containers, kubernetes, and GPU computing

    • Introductory exposure to scientific computing libraries and tools like OpenMP and CUDA

  • Experience applying AI-assisted workflows as part of the software development lifecycle — using AI agents, code generation, and automation as multipliers for engineering velocity and quality

  • Basic understanding of at least one CAE discipline (CFD, FEA, EDA, ML/AI, Molecular Dynamics, Weather Forecasting, Optics, etc.)

  • Ability to collaborate with diverse stakeholders across IT, engineering, and R&D

  • A self-starter eager to learn and support project success in cross-team environments

  • Technical aptitude to learn the product and platform experience and customer journey within the high-performance computing and enterprise PaaS environment

  • Excellent verbal and written communication skills to interact with colleagues and cross-functional teams and third parties

  • BS/BA degree in Engineering, Computer Science, or related field

Rescale is an equal opportunities employer and welcomes applications from all qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. As part of our standard hiring process for new employees, employment with Rescale will be contingent upon successful completion of a comprehensive background check. Here at Rescale, we are committed to being transparent in our policies around candidate privacy. For more details on the information Rescale collects in your application, please view the Rescale Applicant Privacy Policy here.



Please mention the word DOTE and tag RMTU3LjI0NS4yNDcuMTE4 when applying to show you read the job post completely (#RMTU3LjI0NS4yNDcuMTE4). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Role Description Defense Unicorns gets mission-critical software to the warfighter faster and more securely. Revenue Operations is what keeps the go-to-market team moving at that speed without losing track of the details. As Director of Revenue Operations, you own the systems, data, and processes our sales, solutions architecture, and customer success teams rely on every day. This is a hands-on role, not a reporting desk. You will sit close to revenue leadership and the deals themselves, from first pipeline through close, renewal, and expansion, and you will bring order to a fast-growing environment without getting in its way. Responsibilities CRM and Revenue Systems Own HubSpot as primary administrator: data integrity, pipeline hygiene, and adoption across the go-to-market team. Maintain the deal pipelines (Direct Opportunities, Competitive Solicitations, Renewals) with consistent stages, required fields, and automation. Manage integrations between HubSpot and the tools around it (Slack, Google Workspace, Notion, LinkedIn Sales Navigator, and others). Keep deal data clean and usable: naming conventions, MEDDPICC qualification fields (Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, Competition), D&F dates, DRB data, product feature tags, and ARR calculations. Pipeline Analytics and Forecasting Run the quarterly forecast process between sellers and revenue leadership, and surface where coverage is thin and where the upside is. Maintain forecast models built on pipeline stage, PWIN, deal velocity, and past conversion rates. Give leadership the analytics they need at the deal and portfolio level: coverage ratios, pipeline aging, and win/loss patterns. Flag pipeline and deal risk early, before it shows up in the number. Go-to-Market Process Work with sales and solutions architecture leadership to document and sharpen the sales process, from qualified opportunity through Focused Discovery, Deal Review Board (DRB), scoping, proposal, and close. Set up lead routing, territory and account assignment, and clean handoffs between sales and marketing. Run the cadence for pipeline reviews, QBRs, and annual planning. Support competitive solicitations: opportunity tracking, bid/no-bid analysis, and capture management. Quoting, Pricing, and Revenue Tracking Run deal desk operations covering pricing, discounting, contract structure, and approvals. Maintain SKU-level pricing across UDS Premium, Application Licenses, Edge Node Licenses, Software Factory, SRE Operations, PaaS, and training and services. Work with Finance on bookings recognition, ARR tracking, and revenue reporting. Enablement and Adoption Improve CRM adoption and data quality through training, clear documentation, and follow-through. Build the playbooks, templates, and automation that take busywork off sellers and solution architects. Get new revenue team members up to speed on the systems and the process. What Success Looks Like Leadership trusts the pipeline and forecast numbers in weekly Huddles and QBRs because there is one place to find them. The sales team follows one documented process, and so does solutions architecture. The forecast lands within an agreed tolerance quarter after quarter, with risk flagged early. Deals move from quote to close faster, without cutting corners on approvals. Preferred Experience and Qualifications 7+ years in revenue operations, sales operations, or business operations, ideally in GovTech. Hands-on HubSpot experience (Sales Hub, Operations Hub), including workflow automation, custom objects, and reporting. Track record of standing up sales processes in high-growth companies with long, multi-stakeholder deal cycles. Comfortable building pipeline models, forecasts, and the dashboards leadership actually reads. Deal desk or CPQ experience, including pricing and approval workflows. Familiarity with a structured qualification methodology like MEDDPICC, and the discipline to make it stick in the CRM. Strong cross-functional communicator who works well with sales, finance, legal, and product. Self-directed, and at home in a remote-first company with little hierarchy. Background in defense technology, GovTech, or selling to the U.S. Department of Defense. Working knowledge of government procurement (competitive solicitations, contract vehicles, FAR/DFARS). Exposure to product-led and open-source go-to-market models. Experience across both direct and channel/partner sales. Some exposure to solutions architecture or technical pre-sales. A consulting or advisory background (management consulting, GTM/RevOps advisory, Big 4, or a boutique strategy firm) is a real plus. We like operators who can take an ambiguous problem, give it structure, and get it done across a lot of stakeholders. Compensation & Benefits We offer competitive pay, meaningful equity, and full benefits. [Insert salary range; required for postings in several states.] Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. The listed responsibilities are not exhaustive; additional responsibilities may be assigned based on the evolving needs of the organization. Travel Expectations: 4 to 12 times per year (sales training and participation activities)Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA$204,000—$276,000 USDWho We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On Kubernetes Cloud Environments (AWS/GCP and Azure) Infrastructure-as-code (like Terraform/Pulumi) Continuous Delivery and automation tooling GitOps Containers CNCF projects and open source products and packages Helm/Kustomize-Value Stream Mapping Building and improving security delivery Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/Vision Premiums are 100% Company Paid Health Savings Account Life Insurance Disability Insurance Financial: 401k Retirement Plan Company Stock Options Home Office Budget Leave: We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s Paid Parental Leave Learning: Reimbursement for approved trainings/subscriptions Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

📌 Rol: Partner Sales Director – Global System Integrator (GSI)🌎 Ubicación: 100% remoto – Global💼 Área: Sales / Global Alliances & Channels✈️ Viajes: Hasta 40% del tiempo, incluyendo viajes internacionales📋 Descripción GeneralCanonical busca un/a Partner Sales Director para desarrollar y fortalecer las relaciones comerciales con Global System Integrators (GSI), impulsando soluciones basadas en Ubuntu y oportunidades de transformación digital. El rol liderará las estrategias sell-to, sell-through y sell-with, trabajando con partners desde equipos técnicos hasta nivel CxO.📋 Responsabilidades Principales• Construir relaciones estratégicas y de largo plazo con partners GSI.• Desarrollar oportunidades comerciales basadas en Ubuntu, sus stacks y servicios.• Liderar estrategias sell-to, sell-through y sell-with con partners.• Negociar contratos y términos comerciales.• Impulsar la adopción de tecnología Ubuntu dentro de las organizaciones asociadas.• Comprender las estructuras, modelos de venta y oportunidades de los partners.• Trabajar con Marketing, Sales Engineering y Product Management para alcanzar objetivos comerciales.• Representar las necesidades y perspectivas de los partners internamente.• Liderar executive interlocks entre partners y el leadership team de Canonical.• Participar en customer workshops, sales events, presentaciones públicas y executive engagements.🎯 Requisitos• Amplia experiencia en Alliance Management o Indirect Sales Management.• Experiencia trabajando con Global System Integrators.• Conocimiento profundo del ecosistema de Linux, cloud software y modelos comerciales open source.• Amplia experiencia con OpenStack, virtualization, containers y otras tecnologías Cloud.• Capacidad para identificar customer requirements, gaps y nuevas oportunidades comerciales.• Excelentes habilidades de comunicación, negociación y presentación.• Perfil autónomo, disciplinado y hands-on.• Capacidad para trabajar en entornos dinámicos, de alta presión y con objetivos ambiciosos.• Interés por los productos y la misión de Ubuntu.• Disponibilidad para viajar hasta un 40% del tiempo.🏖️ Beneficios• Entorno de trabajo distribuido y encuentros presenciales del equipo dos veces al año.• USD $2.000 anuales para aprendizaje y desarrollo.• Revisión anual de compensación.• Bonus anual o comisión basada en performance.• Recognition rewards.• Vacaciones anuales.• Licencias por maternidad y paternidad.• Team Member Assistance Program y Wellness Platform.• Viajes para encuentros con el equipo.• Priority Pass y upgrades para viajes de larga distancia por eventos de la empresa.

Machine LearningClusteringTime Series Analysis

Requerimientos del cargo

  • Inglés intermedio-avanzado o avanzado (indispensable).
  • Experiencia comprobada (mínimo 3 años) en desarrollo e implementación de modelos de machine learning.
  • Experiencia sólida con modelos de clustering (K-means, DBSCAN, clustering jerárquico, etc.).
  • Dominio en análisis de series de tiempo y métodos de pronóstico (ARIMA, Prophet, Exponential Smoothing, etc.). Inglés intermedio-avanzado o avanzado.
  • Conocimiento profundo de heurísticas y algoritmos metaheurísticos.
  • Experiencia en análisis exploratorio y transformación de datos complejos.
  • Conocimiento de estadística aplicada y validación estadística de modelos.
  • Experiencia con control de versiones (Git/GitHub) y metodologías ágiles de desarrollo.
  • Capacidad de comunicar resultados técnicos complejos de forma clara a stakeholders no técnicos.

Funciones del cargo

Buscamos un ML Engineer para unirse a nuestro equipo de ciencia de datos e ingeniería de machine learning. El candidato será responsable de diseñar, desarrollar e implementar modelos de machine learning avanzados, con énfasis en modelos de clustering, análisis de series de tiempo e heurísticas complejas.

RESPONSABILIDADES

  • Diseñar, desarrollar e implementar modelos de machine learning utilizando técnicas de clustering, análisis de series de tiempo y análisis heurístico.
  • Realizar análisis exploratorio de datos y transformación de datos para preparar conjuntos de datos complejos.
  • Evaluar y validar modelos predictivos utilizando métricas estadísticas apropiadas y metodologías de validación robustas.
  • Optimizar algoritmos de machine learning para mejorar el rendimiento, escalabilidad y eficiencia computacional. Documentar metodologías, procesos y resultados de forma clara y comprehensible para diferentes audiencias técnicas.
  • Colaborar con ingenieros de software y profesionales de datos para integrar modelos en sistemas productivos. Mantenerse actualizado en las tendencias, herramientas y técnicas emergentes en machine learning e inteligencia artificial.
  • Realizar monitoreo continuo y mantenimiento de modelos en producción, identificando y abordando problemas de degradación.

Opcionales


  • Experiencia con Deep Learning y redes neuronales (TensorFlow, Keras, PyTorch).
  • Conocimiento de SQL y bases de datos relacionales para extracción y consulta de datos.
  • Experiencia con herramientas de orquestación y deployment (Docker, Kubernetes, Apache Airflow).
  • Familiaridad con plataformas cloud (AWS, Google Cloud, Azure) y servicios de machine learning.
  • Experiencia en procesamiento de datos a gran escala (Spark, Hadoop).
  • Publicaciones académicas o contribuciones a proyectos open-source en machine learning.
  • Experiencia en interpretabilidad y explicabilidad de modelos (SHAP, LIME, feature importance).
  • Conocimiento de prácticas MLOps y ciclo de vida completo del modelo en producción.

Condiciones


  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
DockerKubernetesGoogle Cloud Platform

Requisitos técnicos

Buscamos profesionales con experiencia sólida en:

  • Cloud Security.
  • DevSecOps.
  • Google Cloud Platform (GCP).
  • Oracle Cloud Infrastructure (OCI).
  • Kubernetes.
  • Docker y contenedores.
  • Hardening de infraestructura.
  • CIS Benchmarks.
  • Gestión y remediación de vulnerabilidades.
  • Gestión de parches.
  • Seguridad de imágenes y contenedores.
  • Auditoría y seguridad de pipelines CI/CD.
  • Backup y recuperación.
  • Monitoreo, telemetría y postura de seguridad.
  • Administración y seguridad de Windows Server y Red Hat.
  • Experiencia en ambientes On-Premise e híbridos.

Perfil que buscamos

  • Profesional Senior de áreas de Ingeniería de Sistemas, Informática, Computación, Ciberseguridad o carreras afines.
  • Experiencia comprobable en seguridad de infraestructura y/o Cloud Security.
  • Capacidad para analizar hallazgos de seguridad y ejecutar planes de remediación de alta complejidad.
  • Experiencia trabajando con ambientes productivos y plataformas de infraestructura crítica.
  • Capacidad para desenvolverse en entornos tecnológicos híbridos y multiplataforma.
  • Orientación a la resolución de problemas y a la mitigación efectiva de riesgos.
  • Capacidad para trabajar de manera autónoma y coordinar actividades técnicas con diferentes equipos.
  • Buenas habilidades de comunicación, organización y trabajo en equipo.
  • Orientación al cumplimiento de procedimientos, controles y buenas prácticas de seguridad.

Principales responsabilidades

  • Analizar, gestionar y remediar vulnerabilidades y brechas de seguridad en infraestructura y plataformas tecnológicas.
  • Ejecutar actividades avanzadas de hardening y fortalecimiento de la infraestructura.
  • Realizar upgrades y mantenimiento de clústeres Kubernetes.
  • Diseñar y/o implementar estrategias de backup y recuperación.
  • Ejecutar auditorías de seguridad basadas en CIS Benchmarks.
  • Evaluar y fortalecer continuamente la postura de seguridad (Security Posture) de los ambientes tecnológicos.
  • Realizar monitoreo continuo de infraestructura y servicios.
  • Gestionar configuración y despliegue de agentes de telemetría y monitoreo.
  • Ejecutar gestión de parches y remediación de configuraciones inseguras.
  • Identificar dependencias vulnerables y proponer acciones de mitigación.
  • Fortalecer imágenes base, contenedores y Dockerfiles bajo buenas prácticas de seguridad.
  • Auditar y revisar pipelines CI/CD desde una perspectiva de seguridad y DevSecOps.
  • Participar en actividades de seguridad sobre ambientes Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI) y On-Premise.
  • Trabajar con sistemas operativos Microsoft Windows Server y Red Hat.
  • Apoyar la implementación de buenas prácticas y controles de seguridad en ambientes híbridos y cloud.
  • Participar en ventanas de mantenimiento y remediación fuera del horario laboral habitual.

Modalidad de trabajo y turnos

La posición contempla un sistema de turnos, considerando cobertura de actividades de seguridad y remediación fuera del horario laboral habitual.

La jornada de referencia contempla:

  • Lunes a viernes: 18:00 a 02:00 horas.
  • Fines de semana: 09:00 a 17:00 horas.
  • La planificación de turnos se organizará considerando las ventanas de mantenimiento y las necesidades operativas del servicio, respetando la normativa laboral aplicable.

Si cuentas con experiencia senior en seguridad de infraestructura, Cloud Security y DevSecOps, y te interesa trabajar con ambientes GCP, OCI, Kubernetes y On-Premise, ¡queremos conocerte!

GitDockerKubernetes

Lo que necesitamos para este rol

  • Seniority: más de 5 años acreditados en DevSecOps y experiencia demostrable en automatización y gobierno de pipelines CI/CD para aplicaciones basadas en microservicios.
  • Gestión de código fuente: Git y experiencia con repositorios como GitHub Enterprise, GitLab y Azure DevOps Repos; estrategias de versionamiento y trazabilidad.
  • Automatización CI/CD: experiencia con herramientas como Azure DevOps Pipelines, GitHub Actions, Jenkins y GitLab CI/CD para compilación, pruebas unitarias y de integración, validaciones de calidad y despliegues automatizados.
  • Contenedores y orquestación: Docker y experiencia con plataformas como Kubernetes u OpenShift; construcción, firma, almacenamiento y promoción de imágenes, y despliegues entre desarrollo, certificación, preproducción y producción.
  • Cloud y plataformas híbridas: experiencia en entornos como OCI (Oracle Cloud Infrastructure), AWS, Azure y plataformas on-premise.
  • Seguridad integrada: controles de análisis estático de código (SAST), dependencias (SCA), contenedores y configuraciones de infraestructura, con herramientas como SonarQube, Checkmarx, Fortify, Snyk, Trivy y OWASP Dependency Check.
  • Infraestructura como código: experiencia con herramientas como Terraform, Ansible, Helm y Kubernetes Manifests para automatizar ambientes y mantener configuraciones reproducibles.
  • Observabilidad y operación: experiencia con herramientas como Prometheus, Grafana, ELK/OpenSearch, Dynatrace y AppDynamics; monitoreo de pipelines, resolución de incidentes, dashboards operacionales y métricas DORA.
  • Gobierno de despliegues: aprobaciones, segregación de funciones, auditoría y cumplimiento normativo; documentación técnica, estándares y componentes reutilizables para pipelines.

Sería un plus si tienes

  • Experiencia previa en proyectos del sector bancario o en entornos con exigencias regulatorias y de ciberseguridad.
  • Participación en proyectos de migración de ejecutables VDI.

¿Dónde y cómo trabajarás?

  • Cliente: Importante empresa del sector Bancario
  • Tiempo del proyecto: Hasta fin de año, con posible extensión.
  • Modalidad: 100% remoto, los candidatos deben residir en Chile para postular.
  • Acompañamiento 3IT: contarás con un Service Manager que te apoyará durante tu integración y experiencia en cliente.

Beneficios tritianos

🏥 Cuidamos tu salud: seguro de vida y complementario de salud MetLife, con cobertura ampliada y dental para ti y tus cargas legales.
📚 Sigue aprendiendo: acceso a Udemy Business, formación continua y oportunidades para fortalecer tus competencias técnicas y profesionales.
🎂 Tiempo para ti: hasta 2 días administrativos al año, medio día libre por tu cumpleaños y beneficios adicionales asociados a parentalidad.
💰 Un extra que suma: bono anual de desempeño, tarjeta de alimentación PLUXEE y aguinaldos de Fiestas Patrias y fin de año.
✨ Convenios para tu día a día: Caja Los Andes, Mundo ACHS, Beneficios Buk y descuento en seguro para mascotas.

¿Por qué trabajar con nosotros?

En 3IT te integras a proyectos tecnológicos de distintas industrias con el respaldo de un equipo que acompaña tu experiencia y desarrollo. Podrás aportar desde tu especialidad, seguir fortaleciendo tus capacidades y ser parte de una cultura donde la colaboración, la confianza y el aprendizaje continuo forman parte de cómo trabajamos.

Esta vacante está acogida a la Ley 21.015, como parte de nuestro compromiso con la inclusión y la igualdad de oportunidades.

PythonSQLBig Data

Requisitos

  • Mínimo 4 años de experiencia profesional.
  • Experiencia como Ingeniero/a de Datos / Big Data Engineer.
  • Dominio de Python y SQL avanzado.
  • Experiencia con Apache Spark / PySpark.
  • Experiencia en construcción de pipelines ETL/ELT.
  • Experiencia con arquitecturas Data Lake / Lakehouse.
  • Experiencia trabajando con AWS y/o Azure.
Tecnologías
AWS: S3, Glue, Athena, Redshift, Lambda, Step Functions, Kinesis/MSK, CloudWatch, IAM.
Azure: ADLS, Data Factory, Synapse Analytics, Databricks, Azure Functions, Event Hub, Azure Monitor.
Data Engineering: Spark, PySpark, Kafka, Kinesis, Event Hub, Parquet, JSON, Avro.
DataOps / DevOps: Git, CI/CD, Azure DevOps, GitHub Actions, Terraform, Docker y Kubernetes.
Gobierno de Datos: Data Catalog, Data Lineage, Data Quality, Glue Catalog y Microsoft Purview.

¿Cuál será tu desafío?

Participarás en el diseño y desarrollo de soluciones Big Data, construcción de pipelines ETL/ELT y evolución de arquitecturas Data Lake/Lakehouse, asegurando la disponibilidad, calidad, seguridad y gobierno de los datos.
Principales responsabilidades
  • Diseñar, desarrollar y mantener pipelines ETL/ELT.
  • Procesar grandes volúmenes de datos utilizando Apache Spark / PySpark.
  • Diseñar y mantener arquitecturas Data Lake / Lakehouse.
  • Realizar modelamiento y transformación de datos.
  • Participar en iniciativas de Gobierno, Calidad, Catálogo y Linaje de Datos.
  • Analizar y proponer mejoras a procesos, sistemas y tecnologías.
  • Realizar testing, troubleshooting y aplicación de correctivos.
  • Participar en iniciativas de DataOps/DevOps.
  • Trabajar con servicios Cloud de AWS y Azure.
LinuxKubernetesCloud Computing

Requisitos y perfil

Ingeniería en Informática, Sistemas o similar. Mínimo 3 años en roles DevOps, Cloud u Operations. Sólido dominio de Linux/UNIX, redes y conceptos de seguridad. Experiencia en arquitecturas de alta disponibilidad y gestión de incidentes. Se valora experiencia con entornos en la nube (AWS, Azure, GCP) y herramientas IaC (Terraform, CloudFormation, Ansible). Conocimientos en contenedores (Docker) y orquestación (Kubernetes). Habilidades de scripting (Bash, Python; PowerShell deseable). Capacidad para trabajar de forma proactiva, con buena comunicación y enfoque colaborativo.

Funciones

  • Garantizar la disponibilidad, estabilidad y rendimiento de sistemas productivos.
  • Gestionar infraestructura como código y automatizar despliegues.
  • Administrar contenedores y clusters Kubernetes.
  • Implementar monitoreo y alertas (Prometheus, CloudWatch, Grafana).
  • Organizar respuestas a incidentes y participar en post-mortems para mejora continua.
  • Trabajar estrechamente con Desarrollo y Seguridad para optimizar la arquitectura.
  • Documentar runbooks y procedimientos operativos para soporte y escalamiento.

Deseables

Certificaciones relevantes en nube (AWS/Azure/GCP) y DevOps; experiencia en entornos regulados; experiencia en monitoreo avanzado (ELK, Datadog) y gestión de costos en la nube. Orientación a soluciones y capacidades de análisis para resolver incidentes de manera eficiente; habilidades de documentación y entrega de runbooks claros.

Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
La modalidad híbrida que ofrecemos, ubicada en Las Condes, permite combinar la flexibilidad del trabajo remoto con la colaboración presencial, facilitando un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
REST APIDockerSelenium

Requisitos y habilidades

Buscamos un profesional con al menos 3 años de experiencia en automatización de pruebas y un historial comprobable en entornos modernos. Debe dominar herramientas como Playwright, Cypress, Selenium, Postman y frameworks como Robot Framework o similares. Experiencia con REST APIs, pruebas en contenedores (Docker) y orquestación (Kubernetes) es imprescindible. Conocimientos en Java, JavaScript, TypeScript, Python o Bash para scripting y mantenimiento de pruebas. Familiaridad con herramientas de CI/CD (GitHub Actions, Jenkins, GitLab CI, Bitbucket) y gestión de código en repositorios (Git). Capacidad para comunicarse efectivamente en español e inglés técnico, y habilidades para trabajar en entornos dinámicos y orientados a resultados. Se valorarán experiencia en AWS o tecnologías cloud y capacidad de liderazgo técnico dentro de equipos de QA.

QA Automatizador – LATAM (Remoto, Proyecto)

  • Diseñar e implementar frameworks de automatización robustos para pruebas funcionales, de regresión, smoke y end-to-end (E2E).
  • Automatizar pruebas sobre microservicios, APIs y UI, asegurando cobertura adecuada y mantenimiento de las suites en pipelines CI/CD.
  • Gestionar ambientes con Docker y Kubernetes para entornos de pruebas consistentes y escalables.
  • Coaching al equipo de QA, revisión de pull requests y promoción de prácticas de calidad desde etapas tempranas (Shift Left).
  • Colaborar con equipos de desarrollo y DevOps para optimizar pipelines de integración y entrega continua (CI/CD) y mejorar la calidad del producto.

Requisitos deseables

Conocimientos en herramientas de testing de rendimiento y seguridad, experiencia en automatización en entornos multi-nube, certificaciones en calidad de software y familiaridad con metodologías ágiles. Capacidad para adaptar frameworks a nuevas tecnologías y promover una cultura de calidad y mejora continua. Se valorará experiencia en equipos que trabajan en sectores regulados y con alta exigencia de cumplimiento.

Beneficios y cultura

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
La modalidad híbrida que ofrecemos, ubicada en Las Condes, permite combinar la flexibilidad del trabajo remoto con la colaboración presencial, facilitando un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
ScriptingAutomationInfrastructure as Code

Requisitos

• 1 a 3 años en roles SRE o DevOps.
• Nube (AWS / GCP / Azure) – Nivel intermedio.
• Terraform – Nivel intermedio.
• Docker y Linux – Nivel intermedio.
• CI/CD y automatización (Bash o Python).
• Conocimientos en observabilidad y resolución de problemas en producción.

Funciones

  • Implementación de Infraestructura como Código (IaC) con Terraform para entornos de desarrollo, pruebas y producción.
  • Automatización de entornos y despliegues para acelerar entregas y mejorar la consistencia entre entornos.
  • Operación de servicios en la nube (ideal AWS) y optimización de costos y rendimiento.
  • Soporte en monitoreo, alertamiento e incidentes (RCA) para garantizar disponibilidad y respuesta oportuna.
  • Mantenimiento de pipelines CI/CD y documentación técnica para equipos de desarrollo y operaciones.

Desirable

• Experiencia en entornos de alta disponibilidad y resiliencia.
• Conocimientos en herramientas de monitoreo (Prometheus, Grafana, CloudWatch) y logging (ELK/EFK).
• Certificaciones en AWS/GCP/Azure o en DevOps (upskilling continuo).

Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
La modalidad híbrida que ofrecemos, ubicada en Las Condes, permite combinar la flexibilidad del trabajo remoto con la colaboración presencial, facilitando un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
GitLab CI/CDDockerTerraform

Perfil requerido

Buscamos un/a referente técnico principal que asegure coordinación, calidad y continuidad del servicio, cubriendo DevOps y complementando al DBA en sistemas Java críticos con conocimiento en Oracle WebLogic Server. Deberás liderar el trabajo con foco en mejora continua, estandarización y calidad técnica, considerando tanto la evolución de pipelines como la preparación de entornos y la automatización de despliegues.

Experiencia y conocimientos técnicos:

  • Dominio de GitLab CI/CD: definición de estrategias, configuración y optimización de prácticas CI/CD.
  • Experiencia en automatización e integración de despliegues, incluyendo verificación técnica post-despliegue.
  • Gestión de ambientes intermedios, preparación de entornos y ajustes a scripts/automatizaciones/plantillas.
  • Administración de contenedores Docker: imágenes, redes, volúmenes y despliegues.
  • Uso y soporte de IaC con Terraform, Ansible u otras herramientas.
  • Conocimientos en GitOps y estrategias de mejora continua.
  • Conocimiento de Oracle WebLogic Server para apoyar al DBA en sistemas Java críticos.

Responsabilidades de liderazgo:

  • Ser punto de contacto principal ante el Jefe de Infraestructura Tecnológica del cliente.
  • Liderar la coordinación ante incidentes críticos P1/P2 y conducir la elaboración de RCA.
  • Participar en reuniones de coordinación al menos quincenalmente.
  • Velar por la entrega del informe de gestión mensual dentro de los primeros 5 días hábiles.

Disponibilidad: disponibilidad on-call fuera de horario hábil.

Certificaciones (valoradas / relevantes):

  • GitLab Certified CI/CD Associate o Professional.
  • Docker Certified Associate (DCA).
  • Certified Kubernetes Administrator (CKA) o CKAD (valorada).
  • HashiCorp Terraform Associate.
  • AWS Certified DevOps Engineer Professional.
  • Red Hat Certified Engineer (RHCE).
  • Oracle WebLogic Server Administration (valorado).

Soft skills esperadas: capacidad de coordinación y comunicación efectiva con stakeholders del cliente, criterio técnico para priorizar y gestionar incidentes críticos, orientación a calidad y continuidad del servicio, y disciplina para documentar y reportar el estado de la gestión mensual.

Funciones principales

Del área DevOps:

  • Soporte y asesoría en pipelines GitLab CI/CD: definición de estrategias, configuración y optimización orientada a madurar las prácticas CI/CD de la organización.
  • Integración y automatización de despliegues.
  • Participación en pasos a productivo y verificación técnica post-despliegue.
  • Ajustes a scripts, automatizaciones o plantillas.
  • Revisión de ambientes intermedios y preparación de entornos.
  • Administración de contenedores Docker: imágenes, redes, volúmenes y despliegues.
  • Soporte en herramientas IaC: Terraform, Ansible u otras.
  • Asesoría en GitOps y estrategias de mejora continua.

Adicionalmente, como líder técnico debe:

  • Actuar como punto de contacto principal ante el Jefe de Infraestructura Tecnológica de cliente.
  • Participar en reuniones de coordinación con frecuencia mínima quincenal.
  • Coordinar la respuesta ante incidentes críticos P1/P2 y liderar la elaboración de RCA.
  • Supervisar la entrega del informe de gestión mensual dentro de los primeros 5 días hábiles.
  • Conocer Oracle WebLogic Server para apoyar al DBA en los sistemas Java críticos.

IMPORTANTE: Disponibilidad on-call fuera de horario hábil.

Certificaciones y conocimientos deseables

  • Certified Kubernetes Administrator (CKA) o CKAD.
  • AWS Certified DevOps Engineer Professional.
  • Red Hat Certified Engineer (RHCE).
  • Oracle WebLogic Server Administration (valorado para cubrir sistemas Java críticos).

Estas certificaciones y conocimientos adicionales fortalecen la capacidad para operar y mejorar pipelines, IaC y prácticas de despliegue en entornos complejos.


Beneficios


En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

PythonSnowflakeDocker

Requerimientos del cargo

  • Python 3.12+ (imprescindible) — Python sólido en producción, no solo nivel de scripting
  • Snowflake (imprescindible) — cómodo escribiendo y optimizando SQL contra Snowflake como fuente de datos y destino para salida de pipelines
  • Docker (imprescindible) — construcción y optimización de imágenes de contenedores, incluyendo empaquetamiento de artefactos de modelos ML y sus dependencias de tiempo de ejecución en imágenes desplegables
  • Kubernetes (imprescindible) — despliegue y operación de cargas de trabajo en Kubernetes; comprensión de pods, deployments, límites de recursos y redes básicas de clúster
  • Capacidad de tomar un prototipo de nivel de investigación y convertirlo en código de producción comprobado, mantenible y programado
  • Inglés intermedio-avanzado o avanzado (indispensable)

Preferido:

  • Experiencia específica con Kubernetes CronJob (programación, política de concurrencia, límites de reintento, manejo del historial de fallos)
  • Experiencia con plataforma de model serving KServe o equivalente (Seldon, BentoML, o similar), ya que la construcción de un clúster KServe es la siguiente fase definida de este rol
  • Familiaridad con conceptos de clustering/estadísticas utilizados en el prototipo: K-means con auto-K vía puntuación de silueta, Jenks Natural Breaks para tiering, normalización/ponderación de características
    Autoría de gráficos Helm para empaquetamiento de cargas de trabajo de Kubernetes
  • Experiencia con formatos de artefactos de modelos y convenciones de empaquetamiento (por ejemplo, ONNX, modelos PyTorch/scikit-learn en pickle, registros de modelos MLflow) incluso sin haber entrenado directamente los modelos

Funciones del cargo

  • Diseñar y mantener pipelines de datos en producción usando Python y Snowflake
  • Dockerizar modelos de ML y artefactos complejos para despliegue containerizado
  • Orquestar y escalar cargas de trabajo en Kubernetes, incluyendo servicios de model serving
  • Transformar prototipos de investigación en código robusto, testeado y versionado
  • Configurar y gestionar KServe (o plataformas equivalentes) para servir modelos en producción
  • Automatizar procesos de ML mediante Kubernetes CronJobs y workflows programados
  • Optimizar queries SQL en Snowflake para maximizar performance de pipelines
  • Documentar y mantener la infraestructura mediante Helm charts

Condiciones

  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Clases de inglés.
  • Equipamiento Apple.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
  • mucho mas..
TypeScriptJavaScriptTest Automation

Required Technical Skills

  • Proficiency in TypeScript and JavaScript (ES6+)
  • Strong experience with React and modern frontend testing
  • Hands-on experience with AWS services and cloud-based testing infrastructure
  • Experience with test automation frameworks (Selenium, Cypress, Playwright, or similar)
  • Strong proficiency in unit testing and integration testing
  • Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or equivalent)
  • Knowledge of API testing and tools (REST, GraphQL, Postman, etc.)
  • Experience with version control systems (Git)
  • Strong understanding of software development lifecycle and QA methodologies

Key Responsibilities

Write reusable automated test scripts
collaborate with developers, product owners and devops engineers
Support regression, integration and end to end testing efforts
Contribute to test planning, test strategy and quality best practices
Design, develop and maintain scalable automated test frameworks

Desired Skills & Experience

  • Experience with containerization (Docker, Kubernetes)
  • Familiarity with performance and load testing tools
  • Knowledge of testing metrics and reporting
  • Experience with Agile/Scrum methodologies
  • Understanding of security testing and OWASP principles
  • Previous experience in a similar SDET role in a fast-paced environment

Awesome Benefits

Sur America:
  • Contrato a largo plazo.
  • 100% Remoto.
  • Vacaciones y PTOs
  • Posibilidad de recibir 2 bonos al año.
  • 2 revisiones salariales al año.
  • Equipamiento Laptop.
  • Plataforma de cursos en linea
  • Budget para compra de libros.
  • Budget para compra de materiales de trabajo
Mexico
  • Major Medical Expense Insurance
  • Life Insurance
  • Dental and Vision Insurance
  • Mental Health Support
  • IMSS (Mexican Social Security)
  • Seniority Bonus
  • Savings Fund Program
  • Career Development Plan
  • Christmas Bonus (Aguinaldo)
  • Vacation Bonus
  • Corporate Retirement Plan
  • Certifications and Training Programs
  • Internal Events
  • TotalPass Wellness Program
  • Additional Paid Time Off
Additional Protection and Discounts
  • Auto and Motorcycle Insurance
  • Pet Insurance
  • Personal Belongings Insurance

Remote work policy: Position is 100% remote, but candidates must reside in South America.

GoREST APIMySQL

Requisitos

Buscamos un Developer Backend con al menos 4 años de experiencia, dominio avanzado de Go (exclusivo) y conocimientos en Java. Se valoran experiencia en bases de datos MySQL, PostgreSQL, Redis, MongoDB y Cassandra, así como manejo de Docker, Kubernetes, Git, CI/CD (GitLab CI, GitHub Actions o Jenkins) y mensajería con Kafka o RabbitMQ. Debe estar cómodo trabajando en APIs REST y en entornos Linux/Unix. Se prioriza un perfil orientado a Clean Code, SOLID, TDD, patrones de diseño y trabajo en equipos ágiles.
Este rol es 100% remoto, con posibilidad de colaboración con equipos en distintos países de LATAM. Se requieren habilidades de comunicación, proactividad y capacidad de trabajar de forma autónoma y en equipo, manteniendo estándares de calidad y entregas a tiempo.

Funciones

  • Desarrollar y mantener servicios Backend en Go (Golang) para entornos LATAM, asegurando alto rendimiento y escalabilidad.
  • Diseñar e implementar APIs RESTful, con énfasis en Swagger/OpenAPI para especificaciones claras.
  • Trabajar con bases de datos MySQL, PostgreSQL, Redis, MongoDB y Cassandra; asegurar integridad, rendimiento y análisis de datos.
  • Gestionar contenedores y orquestación con Docker y Kubernetes; colaborar en pipelines CI/CD (GitLab CI, GitHub Actions o Jenkins).
  • Trabajar con mensajería asíncrona (Kafka o RabbitMQ) y sistemas Linux/Unix; implementar buenas prácticas de seguridad y monitoreo.
  • Adoptar prácticas de Clean Code, principios SOLID, TDD y patrones de diseño; participar en equipos ágiles y contribuir a mejoras técnicas y de procesos.

Deseables

Experiencia adicional en Java, arquitectura de microservicios, plataformas de mensajería como ActiveMQ o RabbitMQ en entornos complejos, y familiaridad con herramientas de observabilidad (Prometheus, Grafana, ELK). Conocimiento en seguridad de aplicaciones, pruebas de rendimiento y experiencia en entornos regulados o con alto grado de criticidad. Se valoran certificaciones relevantes y experiencia en proyectos para sectores financieros o gobierno.

Beneficios

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.
La modalidad híbrida que ofrecemos, ubicada en Las Condes, permite combinar la flexibilidad del trabajo remoto con la colaboración presencial, facilitando un mejor equilibrio y dinamismo laboral.
Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.
C#.NetPostgreSQL

Requisitos y Perfil


  • Formación: Ingeniería en Sistemas, Tecnologías de la Información o carrera afín.
  • Experiencia: experiencia mínima de 1 año en desarrollo web.
  • Backend: conocimientos en desarrollo con C# / .NET.
  • Frontend: experiencia básica o académica con Angular.
  • Base de datos: manejo de PostgreSQL.
  • Web fundamentals: conocimientos en HTML, CSS y JavaScript / TypeScript.
  • APIs: consumo y desarrollo de APIs REST.
  • Control de versiones: manejo básico de Git.
  • Inglés intermedio Avanzado

Responsabilidades



  • Participar en el desarrollo y mantenimiento de aplicaciones web.
  • Desarrollar funcionalidades frontend utilizando Angular.
  • Construir y mantener APIs y servicios backend en C# / .NET.
  • Diseñar, consultar y optimizar bases de datos PostgreSQL.
  • Colaborar con equipos de desarrollo, QA y negocio para la implementación de mejoras.
  • Realizar pruebas, debugging y documentación técnica básica.
  • Dar seguimiento a incidencias y mejoras continuas de las plataformas.

Plus / Deseable



  • Conocimiento en Azure o servicios cloud.
  • Experiencia con Entity Framework.
  • Conocimientos en Docker.
  • Experiencia trabajando con Jira o Azure DevOps.
PHPLaravelReact Native

Requisitos

Buscamos incorporar a nuestro equipo un/a Desarrollador/a Full Stack con experiencia en desarrollo backend con PHP (Laravel) y desarrollo mobile con React Native, orientado/a a la construcción de soluciones escalables, integraciones y mejora continua de plataformas tecnológicas.

Requisitos:

  • Experiencia desarrollando con PHP y framework Laravel.
  • Experiencia en desarrollo mobile con React Native.
  • Manejo de bases de datos PostgreSQL.
  • Conocimientos en APIs REST y arquitectura de servicios.
  • Manejo de Git y control de versiones.
  • Experiencia trabajando con metodologías ágiles.

Buscamos además:

  • Capacidad analítica y orientación a resolución de problemas.
  • Autonomía y proactividad.
  • Buenas habilidades de comunicación.
  • Orientación al trabajo colaborativo.

Responsabilidades

Trabajaremos en el desarrollo y mantención de aplicaciones web y móviles, de manera colaborativa con equipos técnicos y de negocio.

  • Desarrollo y mantención de aplicaciones backend en PHP Laravel.
  • Desarrollo y soporte de aplicaciones móviles con React Native.
  • Diseño y consumo de APIs REST.
  • Gestión y optimización de bases de datos PostgreSQL.
  • Participación en análisis técnico, levantamiento de requerimientos y propuestas de mejora.
  • Corrección de incidencias y soporte evolutivo.
  • Trabajo colaborativo bajo metodologías ágiles.

Deseables

  • Conocimientos en Docker.
  • Experiencia en despliegues cloud (AWS, Azure o GCP).
  • Conocimientos en CI/CD.
  • Experiencia integrando servicios externos y aplicaciones móviles.

En BC Tecnología promovemos un ambiente de trabajo colaborativo que valora el compromiso y el aprendizaje constante. Nuestra cultura se orienta al crecimiento profesional a través de la integración y el intercambio de conocimientos entre equipos.

Participarás en proyectos innovadores con clientes de alto nivel y sectores diversos, en un entorno que fomenta la inclusión, el respeto y el desarrollo técnico y profesional.

About jobs in Docker

Remote job offers for Docker specialists. Containerization, modern development and deployment. At RemoteJobs.lat we connect Latin American professionals with companies offering 100% remote work. All our listings let you work from any city, with pay in dollars or international currency.

Salary range

$3,500 - $9,000 USD/mes

Open positions

85

Location

100% Remote LATAM

Tip: You can also search jobs in related skills like Kubernetes, DevOps,

Docker salary ranges by seniority

Estimated ranges in USD/month for remote contracts with international companies. Vary by company, complementary stack and client location.

Level Years of experience Range USD/month
Junior 0-2 $3,500 - $4,875
Mid-level 2-4 $4,600 - $6,525
Senior 4-7 $6,250 - $8,175
Lead/Staff 7+ $7,625 - $9,000

Companies hiring remote Docker from LATAM

Some companies that have historically hired Docker profiles to work 100% remotely from Latin America:

GitLab Crossover Cloudflare Toptal Globant Automattic AWS Datadog

Frequently asked questions

The typical range for a remote Docker working for international companies is $3,500 - $9,000 USD/mes. The exact amount depends on seniority, the company's country, and whether the contract is full-time or project-based.

The most in-demand Docker profiles usually combine Kubernetes, Devops, Linux. Adding one of these opens more job offers and often increases salary range by 15% to 30%.

For US/EU companies yes: B2 minimum for technical interviews. There are alternatives at LATAM companies (Mercado Libre, Globant, Rappi) or agencies like Toptal where intermediate English is enough to start.

The 3 highest-impact things: (1) a public GitHub with 2-3 solid projects relevant to Docker, (2) an English LinkedIn profile optimized for recruiters, and (3) applying to 20+ offers per week instead of 2-3.
📬 Looking for remote work? Leave your email and we'll let you know when we launch job alerts.