Ofertas de trabajo remoto de Kubernetes para profesionales en México. Trabaja con empresas internacionales desde cualquier ciudad.
Location
Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal.
About DoiT
DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable stateâfrom planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The Opportunity
As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared
Please mention the word **INTELLIGENT** 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.
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenesâ screening, compliance, scheduling, and paymentsâso knowledge sharing stays focused on meaningful insights and real impact.
Weâre a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.
Human knowledge is the worldâs most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.
At first glance, Office Hours looks simple: search, match, connect, and pay. Under the hood, the system is anything but.
Weâre building and evolving a deeply interconnected platform spanning search, discovery, recommendations, data pipelines, logistics, payments, compliance, and performance. The entire stack has been built in-house, from expert profiles and discovery experiences to workflow automation and an underlying knowledge graph that ties everything together.
Weâre looking for a Staff Full Stack Software Engineer who enjoys working across the stack, takes ownership of complex problems, and cares deeply about building thoughtful, high-quality product experiences. This is a hands-on role with real influence over product direction, technical architecture, and how we ship software.
Own the design, implementation, and rollout of meaningful user-facing features, from problem definition through production
Partner closely with design, product, and client-facing teams to translate real user needs into shipped solutions
Architect, build, and evolve scalable, reliable systems across the front end, back end, and infrastructure
Set a high bar for code quality through clear implementations, thoughtful tradeoffs, and active participation in reviews and technical discussions
Explore and integrate modern tools, including AI-powered workflows, and share learnings that improve how the team builds and ships
8+ years of professional software engineering experience, with meaningful time spent working across the stack
A track record of shipping high-quality, user-facing products in production environments
Strong product intuition and the ability to translate ambiguous user or business problems into technical solutions
Comfort operating in fast-moving environments where priorities evolve and ownership matters
A bias toward action, paired with sound judgment and attention to detail
Back end: Node.js, Typescript, MongoDB & Postgres, OpenSearch, Temporal
Front end: React, Next.js, Tailwind, shadcn
Infrastructure: AWS, Kubernetes, Docker, Datadog, Sentry
Workflow: GitHub, Slack, Notion, Figma, Linear, PostHog, Metabase
Competitive salary and equity
Medical, dental, and vision coverage
401(k)
Monthly wellness and fitness stipend
Paid time off policy, along with company holidays
Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)
Parent-friendly policies, remote flexibility, and paid family leave
Pay Transparency Notice
Full-time offers include base salary, equity, and benefits.
Pay range: $225,000- $250,000 based on seniority and relevant experience
*This role can be 100% remote, but we do have offices in San Francisco and NYC
Donât meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if youâre excited about this role but donât meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!
Apply from getonbrd.com.
Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.
We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.
This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.
Apply exclusively at getonbrd.com.
What success looks like in year one
Core requirements
We pay competitively for the LATAM market and we’re transparent about it.
How we work
Location
Our Senior Cloud Architect, ML/AI will be an integral part of our global Forward Deployment Engineering team. This role is based remotely in the US, Colombia, Mexico, Canada, the UK, Ireland, Estonia, Sweden, the Netherlands, and Israel. The job is also open to contractors in Eastern Europe or Portugal.
About DoiT
DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable stateâfrom planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
The Opportunity
As a Senior Cloud Architect, ML/AI, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. Depending on business needs, this role may be aligned to either Field Engineering (pre-sales + GTM) or FDE Delivery (install base, product adoption, customer health), with a common technical bar and shared
Please mention the word **INTELLIGENT** 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.
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenesâ screening, compliance, scheduling, and paymentsâso knowledge sharing stays focused on meaningful insights and real impact.
Weâre a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm.
Human knowledge is the worldâs most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.
At first glance, Office Hours looks simple: search, match, connect, and pay. Under the hood, the system is anything but.
Weâre building and evolving a deeply interconnected platform spanning search, discovery, recommendations, data pipelines, logistics, payments, compliance, and performance. The entire stack has been built in-house, from expert profiles and discovery experiences to workflow automation and an underlying knowledge graph that ties everything together.
Weâre looking for a Staff Full Stack Software Engineer who enjoys working across the stack, takes ownership of complex problems, and cares deeply about building thoughtful, high-quality product experiences. This is a hands-on role with real influence over product direction, technical architecture, and how we ship software.
Own the design, implementation, and rollout of meaningful user-facing features, from problem definition through production
Partner closely with design, product, and client-facing teams to translate real user needs into shipped solutions
Architect, build, and evolve scalable, reliable systems across the front end, back end, and infrastructure
Set a high bar for code quality through clear implementations, thoughtful tradeoffs, and active participation in reviews and technical discussions
Explore and integrate modern tools, including AI-powered workflows, and share learnings that improve how the team builds and ships
8+ years of professional software engineering experience, with meaningful time spent working across the stack
A track record of shipping high-quality, user-facing products in production environments
Strong product intuition and the ability to translate ambiguous user or business problems into technical solutions
Comfort operating in fast-moving environments where priorities evolve and ownership matters
A bias toward action, paired with sound judgment and attention to detail
Back end: Node.js, Typescript, MongoDB & Postgres, OpenSearch, Temporal
Front end: React, Next.js, Tailwind, shadcn
Infrastructure: AWS, Kubernetes, Docker, Datadog, Sentry
Workflow: GitHub, Slack, Notion, Figma, Linear, PostHog, Metabase
Competitive salary and equity
Medical, dental, and vision coverage
401(k)
Monthly wellness and fitness stipend
Paid time off policy, along with company holidays
Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)
Parent-friendly policies, remote flexibility, and paid family leave
Pay Transparency Notice
Full-time offers include base salary, equity, and benefits.
Pay range: $225,000- $250,000 based on seniority and relevant experience
*This role can be 100% remote, but we do have offices in San Francisco and NYC
Donât meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if youâre excited about this role but donât meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!
El mercado de trabajos remotos de Kubernetes para profesionales en México creció de manera sostenida desde 2020 y hoy es una de las vías más concretas para cobrar en USD desde Ciudad de México, Guadalajara o cualquier ciudad del país. El rango salarial típico está en $4,500 - $11,000 USD/mes, varias veces por encima del salario equivalente en el mercado local. Empresas como GitLab, Crossover, Cloudflare, Toptal contratan regularmente perfiles de Kubernetes desde México, ya sea bajo modalidad contractor o empleado a través de plataformas como Deel o Remote.com. El stack que más se demanda combina Kubernetes con Docker, Devops, Aws. Desde el lado operativo, los métodos más usados para cobrar son Wise, Deel, Payoneer, y la zona horaria de México (GMT-6) ofrece un overlap natural con la costa este de Estados Unidos y horarios europeos de mañana, lo que la convierte en una de las regiones más atractivas para empresas USA y EU que quieren contratar talento nearshore. Para profesionales que recién arrancan en remoto, lo más rentable suele ser empezar con agencias como Toptal o Crossover (filtros técnicos exigentes pero contratos estables) y después migrar a un rol full-time en una empresa producto. Esta página actualiza diariamente las ofertas activas de Kubernetes disponibles para México, filtradas para que solo veas roles 100% remotos compatibles con tu ubicación.
Salario
$4,500 - $11,000 USD/mes
Zona horaria
GMT-6
Posiciones
6
Pago
USD (cobro internacional)
Rangos estimados en USD/mes. En México estos montos suelen ser 2x a 4x un salario local equivalente, dependiendo del régimen fiscal.
| Nivel | Experiencia | Rango USD/mes |
|---|---|---|
| Junior | 0-2 años | $4,500 - $6,125 |
| Semi-Senior | 2-4 años | $5,800 - $8,075 |
| Senior | 4-7 años | $7,750 - $10,025 |
| Lead/Staff | 7+ años | $9,375 - $11,000 |
Te das de alta en el RFC bajo Régimen Simplificado de Confianza (RESICO) o Plataformas Tecnológicas. Pagos de servicios al exterior pueden ser tasa 0% IVA.