$$$ Full time
architect technical growth cloud

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 state—from 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

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$$$ Full time
Staff Software Engineer
  • Office Hours
  • Remote
software system consulting technical

About Us

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 scenes— screening, compliance, scheduling, and payments—so knowledge sharing stays focused on meaningful insights and real impact.

We’re 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.

What we believe

Human knowledge is the world’s 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.

About the role

At first glance, Office Hours looks simple: search, match, connect, and pay. Under the hood, the system is anything but.

We’re 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.

We’re 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.

What you’ll do

  • 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

What you bring

  • 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

Our tech stack

  • 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

Benefits + Perks

  • 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

Don’t 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 you’re excited about this role but don’t 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!



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Gross salary $3500 - 4000 Full time
Full-Stack Engineer (React & Python)
  • Interfell
  • Ciudad de México (Hybrid)
Python Agile SQL Django
Somos Interfell, una empresa que conecta a las empresas con los mejores talentos de TI de toda Latinoamérica, y creemos firmemente en el teletrabajo y la inclusión a largo plazo. En esta oportunidad, te ayudaremos a desarrollar un producto digital enfocado en generar un impacto real, ofreciendo soluciones que beneficien a las comunidades rurales. Trabajarás como desarrollador full-stack en el desarrollo y la evolución de aplicaciones web escalables, desde experiencias front-end creadas con React hasta servicios back-end y API REST en Python. El puesto también incluye el diseño y la mejora de la arquitectura del sistema, el ajuste del rendimiento y la infraestructura basada en AWS para garantizar la fiabilidad, la seguridad y unos resultados medibles del producto.

Apply from getonbrd.com.

Responsibilities

  • Desarrollar y mantener aplicaciones web full stack, asegurando calidad, escalabilidad y buenas prácticas.
  • Diseñar arquitectura de software e integrar servicios y APIs necesarias para el producto.
  • Participar activamente en la construcción y evolución del producto digital.
  • Trabajar con equipos multidisciplinarios para traducir necesidades en soluciones técnicas.
  • Apoyar a la Project Manager en decisiones técnicas y de producto.
  • Actuar como referente técnico para analizar, validar y definir soluciones.
  • Ejercer liderazgo técnico desde la influencia (sin gestión directa de equipo).
  • Involucrarse con el propósito social, aportando soluciones con impacto en comunidades rurales.

Required Skills

Habilidades técnicas:
  • +5 años de experiencia en desarrollo full stack
  • Dominio de React, Python, Django/Flask y SQL
  • Conocimiento en arquitectura serverless y microservicios
  • Experiencia en CI/CD, Docker y entornos ágiles
Habilidades blandas: liderazgo en la toma de decisiones (no líder de equipo formal), fuerte comunicación, capacidad para conectar con las partes interesadas, entender requisitos; apoya y colabora con el Gerente de Proyecto.

Benefits

  • Oportunidad de crecimiento con un equipo multinivel
  • Trabajo híbrido: on-site 2 days per week at Rutopía’s office in Coyoacán, Mexico City

Gross salary $4000 - 6000 Full time
Python C# Docker CI/CD

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 you’ll own

  • Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
  • AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
  • Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
  • Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
  • Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.

What success looks like in year one

  • Shipping 2–3 features per sprint while maintaining code quality.
  • Continuous deployment implemented within your first month.
  • At least one improvement to the team’s AI-assisted workflow per week.
  • Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
  • Zero unplanned downtime from deployment issues within 6 months.
  • Your teammates are measurably faster because of the tooling and patterns you’ve introduced.

What we’re looking for

Core requirements

  • 4+ years fullstack development experience with Angular + Python or C# backends.
  • Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
  • Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
  • Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
  • Strong written English — this is a remote, async-heavy role with a US-based team.
  • Comfort working in a fast-paced startup where priorities shift and ownership is expected.

Nice to have

  • Github Actions experience is a big plus
  • Experience owning deployment pipelines end-to-end in a startup environment.
  • Terraform or Pulumi for infrastructure-as-code.
  • Kubernetes or Cloud Run experience on GCP.
  • Background in B2B SaaS or data-intensive platforms.
  • Experience with PostgreSQL and data-heavy applications.
  • Familiarity with the Python data tooling ecosystem (even if not a data engineer).
  • Contributions to open source or public examples of AI-augmented development work.

Compensation and benefits

We pay competitively for the LATAM market and we’re transparent about it.

  • Time off: Manage your own schedule. We trust you.
  • Health: $150/month health and wellness stipend.
  • Engagement: B2B contract. 30-day mutual notice.

How we work

  • Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
  • Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
  • Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
  • Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Health coverage Vequity pays or copays health insurance for employees.
Computer provided Vequity provides a computer for your work.

🇲🇽 Trabajos remotos de Kubernetes desde México: panorama 2026

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

4

Pago

USD (cobro internacional)

México es un hub tecnologico reconocido en LATAM, con una comunidad activa de profesionales en Kubernetes.

Cuánto cobra un Kubernetes remoto en México según seniority

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

Cómo cobrar como Kubernetes desde México

Métodos de cobro más usados

  • Wise
  • Deel
  • Payoneer
  • Stripe Atlas

Régimen fiscal

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.

Empresas que contratan Kubernetes remoto desde México

GitLab Crossover Cloudflare Toptal Globant Automattic AWS Datadog

Preguntas frecuentes sobre Kubernetes remoto en México

Los profesionales de Kubernetes en México que trabajan para empresas internacionales cobran $4,500 - $11,000 USD/mes. Cobrando en USD, el ingreso suele ser 2x a 4x un salario local equivalente en el mercado tradicional.

Los métodos más usados son Wise, Deel, Payoneer. La mayoría combina dos para reducir comisiones: por ejemplo Wise para clientes USA y Deel cuando la empresa firma contrato de empleado.

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.

Algunas que históricamente contratan ese perfil desde México: GitLab, Crossover, Cloudflare, Toptal. Más allá de estas, cualquier empresa con política remote-friendly puede contratar desde acá si tu inglés y tu portfolio están a nivel.

México está en zona GMT-6, lo que da overlap natural de 4 a 6 horas con la costa este de USA y de 2 a 4 horas con UK. Para empresas asiáticas o australianas el overlap es mínimo, conviene buscar roles "async-first".