Devops Engineer

At Orbitant we are looking for DevOps Engineers (mid and senior, remote).La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.What is Orbitant?Humanity is living through its greatest acceleration.This is not a trend; it is a civilizational inflection point.The companies that will define the next era are not the ones with the most code, but the ones with the best judgment about what to build, how to architect it, and why it matters.Orbitant exists to provide that thrust.We are looking for engineers who don’t just write code.They make the decisions that determine what to build and why.Our pillars:- Solid engineering, no shortcuts.We build with intent, good practices, and a long-term vision, designing clean, scalable, and maintainable solutions.- Innovation with common sense.We explore emerging technologies, analyze them, and incorporate what truly adds value, avoiding passing trends.- Business-oriented technology.We always understand the why before the how.Every technical decision aligns with strategic objectives to drive impact and deliver value to the business.At Orbitant we promote:- Teamwork and ownership of your work- Sharing knowledge and learning constantly- Flexibility and freedom to carry out your work day-to-day- Push toward a higher orbit, for clients, for the team, and for yourself- Mentoring and being mentored.Constant growth.- Automating and working in an AI-first way, betting on tools that help us.- Enjoying what we do and feeling proud of the result.What are we looking for?At Orbitant we’re looking for a Senior DevOps Engineer with experience across different kinds of projects and environments, but above all with a real appetite to keep growing.Beyond experience, what we value most is attitude and alignment with our values.We’re looking for people who:- Enjoy learning and sharing knowledge.- Feel comfortable communicating with teammates and clients.- Collaborate proactively and aren’t afraid to ask questions or propose ideas.- Bring their own ideas instead of waiting for tasks to be assigned.- Go a little further than expected and create real impact.- Have curiosity, a continuous-improvement mindset, and a desire to build things they’re proud of.We’re looking for people who don’t just write code, but who understand why we’re building it and want to create real value.We don’t hire people for a single project; we hire people we want to work with long-term.Responsibilities:Among the main responsibilities you’ll take on:- Design, deploy and operate cloud infrastructure managed entirely as code (Terraform/OpenTofu), following best practices and with a long-term view.- Own the Kubernetes clusters end to end: networking, autoscaling, node pools, ingress, egress, capacity, cost and lifecycle.- Design and maintain the GitOps deployment model (ArgoCD or equivalent) and the Helm chart library used by the product teams.- Design and maintain the CI/CD pipelines, including reusable workflows, self-hosted runners and authentication without static credentials.- Own the observability platform (Prometheus, Grafana, Loki or equivalents), define actionable alerts, and lead incident response and postmortems.- Manage platform identity, access and secrets as code, and harden security in environments with sensitive data.- Build and operate AI infrastructure: GPU inference servers, model serving for open-source models, and multi-provider inference routing layers (AI Gateway).- Make infrastructure and AI cost visible and governable: attribution by application and team, budgets, quotas and continuous optimisation (FinOps).- Take part in designing clean, scalable and maintainable platform architectures alongside other team members.- Reduce day-to-day friction for the development teams: templates, internal tooling, living documentation and deployment times.- Define platform standards and conventions, and get them adopted without becoming a bottleneck.- Lead technically and mentor the DevOps team, driving their professional development.- Share knowledge and best practices within the team and across Orbitant.- Propose new ideas, technologies or process improvements that add real value.- Own the platform you put into production: availability, security, cost and observability.Requirements:Must-have:- Solid experience in DevOps, SRE or Platform Engineering roles, operating real platforms in production.- Hands-on experience with Kubernetes in production: workloads, networking, RBAC, autoscaling, persistent storage and troubleshooting.- Strong command of Infrastructure as Code with Terraform or OpenTofu: modularisation, state management and multiple environments.- Experience with at least one hyperscaler cloud (Azure, AWS or GCP): networking, identity, secrets management, managed databases and perimeter security.- Experience with GitOps and declarative deployment (ArgoCD, Flux or equivalents) and with Helm at the level of writing and maintaining charts, not just installing them.- Experience designing CI/CD pipelines (GitHub Actions, GitLab CI or similar) and continuous delivery best practices.- Solid fundamentals in Linux, networking (DNS, TLS, routing, VPN) and containers (Docker, multi-stage builds, image security).- Experience setting up and running observability (Prometheus, Grafana, Loki or equivalents), defining actionable alerts rather than noise.- Applied security culture: secrets management, least privilege, RBAC, certificates and rotation.- Scripting and automation skills (Bash, Python or TypeScript/Node) to build internal tooling.- Interest and good judgement in AI infrastructure: understanding what serving models involves, governing inference traffic and controlling its cost.- Experience leading or mentoring other technical people: support, feedback and professional growth.- Ability to work in a team, communicate clearly and explain technical decisions to non-technical audiences.- Autonomy and judgement to prioritise, with a platform-owner mindset.- An attitude geared towards adding value and seeking continuous improvement.- A desire to learn, to teach others and to share knowledge.- A level of English that allows you to communicate with international teams and clients.Nice-to-have:- Advanced experience with Azure: AKS, Application Gateway/WAF, Azure Firewall, Workload Identity, Entra ID, hub-and-spoke architectures and site-to-site VPN.- Experience with IaC management platforms such as Scalr, Terraform Cloud/Enterprise, Atlantis or similar.- Experience with External Secrets Operator, cert-manager, Gateway API, KEDA or Argo Rollouts.- Experience operating data and messaging on Kubernetes: RabbitMQ, PostgreSQL, PgBouncer, Redis or vector databases.- Experience with Ansible, Packer and on-premise infrastructure (virtualisation, bare metal, GPU servers).- Experience serving open-source models in production (vLLM, llama.cpp, SGLang, TGI, TensorRT-LLM) and with the GPU stack (NVIDIA drivers, CUDA, GPUs on Kubernetes): quantisation, KV cache, batching and concurrency/latency tuning.- Experience with AI gateways or inference proxies (LiteLLM, Azure API Management, Kong AI Gateway, Portkey or similar): multi-provider routing, failover, rate limiting and cost attribution.- Familiarity with the main providers’ APIs (Azure OpenAI, Anthropic, OpenAI) and with LLMOps practices: LLM observability, OpenTelemetry tracing and cost control.- Experience with hybrid on-premise/cloud inference architectures and with data residency and sensitivity requirements.- Experience in FinOps and cloud cost optimisation (reservations, rightsizing, spend visibility).- Experience in regulated environments or with sensitive data and compliance frameworks (GDPR, ENS, ISO *****).- Experience defining SLOs, error budgets and SRE practices.xqbhyrx - Experience with AI, or curiosity to learn and work with it day to day (Claude Code, Cursor, MCP servers, agents applied to operations and automation).

Own the platform you put into production: availability, security, cost and observability.Requirements:Must-have:- Solid experience in DevOps, SRE or Platform Engineering roles, operating real platforms in production.

• Hands-on experience with Kubernetes in production: workloads, networking, RBAC, autoscaling, persistent storage and troubleshooting.
• Strong command of Infrastructure as Code with Terraform or OpenTofu: modularisation, state management and multiple environments.
• Experience with at least one hyperscaler cloud (Azure, AWS or GCP): networking, identity, secrets management, managed databases and perimeter security.
• Experience with GitOps and declarative deployment (ArgoCD, Flux or equivalents) and with Helm at the level of writing and maintaining charts, not just installing them.
• Experience designing CI/CD pipelines (GitHub Actions, GitLab CI or similar) and continuous delivery best practices.
• Solid fundamentals in Linux, networking (DNS, TLS, routing, VPN) and containers (Docker, multi-stage builds, image security).
• Experience setting up and running observability (Prometheus, Grafana, Loki or equivalents), defining actionable alerts rather than noise.
• Applied security culture: secrets management, least privilege, RBAC, certificates and rotation.
• Scripting and automation skills (Bash, Python or TypeScript/Node) to build internal tooling.
• Interest and good judgement in AI infrastructure: understanding what serving models involves, governing inference traffic and controlling its cost.
• Experience leading or mentoring other technical people: support, feedback and professional growth.
• Ability to work in a team, communicate clearly and explain technical decisions to non-technical audiences.
• Autonomy and judgement to prioritise, with a platform-owner mindset.
• An attitude geared towards adding value and seeking continuous improvement.
• A desire to learn, to teach others and to share knowledge.
• A level of English that allows you to communicate with international teams and clients.Nice-to-have:- Advanced experience with Azure: AKS, Application Gateway/WAF, Azure Firewall, Workload Identity, Entra ID, hub-and-spoke architectures and site-to-site VPN.
• Experience with IaC management platforms such as Scalr, Terraform Cloud/Enterprise, Atlantis or similar.
• Experience with External Secrets Operator, cert-manager, Gateway API, KEDA or Argo Rollouts.
• Experience operating data and messaging on Kubernetes: RabbitMQ, PostgreSQL, PgBouncer, Redis or vector databases.
• Experience with Ansible, Packer and on-premise infrastructure (virtualisation, bare metal, GPU servers).
• Experience serving open-source models in production (vLLM, llama.cpp, SGLang, TGI, TensorRT-LLM) and with the GPU stack (NVIDIA drivers, CUDA, GPUs on Kubernetes): quantisation, KV cache, batching and concurrency/latency tuning.
• Experience with AI gateways or inference proxies (LiteLLM, Azure API Management, Kong AI Gateway, Portkey or similar): multi-provider routing, failover, rate limiting and cost attribution.
• Familiarity with the main providers’ APIs (Azure OpenAI, Anthropic, OpenAI) and with LLMOps practices: LLM observability, OpenTelemetry tracing and cost control.
• Experience with hybrid on-premise/cloud inference architectures and with data residency and sensitivity requirements.
• Experience in FinOps and cloud cost optimisation (reservations, rightsizing, spend visibility).
• Experience in regulated environments or with sensitive data and compliance frameworks (GDPR, ENS, ISO *****).
• Experience defining SLOs, error budgets and SRE practices. xqbhyrx - Experience with AI, or curiosity to learn and work with it day to day (Claude Code, Cursor, MCP servers, agents applied to operations and automation).

At Orbitant we are looking for DevOps Engineers (mid and senior, remote). La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto.What is Orbitant? Humanity is living through its greatest acceleration. This is not a trend; it is a civilizational inflection point. The companies that will define the next era are not the ones with the most code, but the ones with the best judgment about what to build, how to architect it, and why it matters.Orbitant exists to provide that thrust. We are looking for engineers who don’t just write code. They make the decisions that determine what to build and why.Our pillars:- Solid engineering, no shortcuts. We build with intent, good practices, and a long-term vision, designing clean, scalable, and maintainable solutions.

• Innovation with common sense. We explore emerging technologies, analyze them, and incorporate what truly adds value, avoiding passing trends.

• Business-oriented technology. We always understand the why before the how. Every technical decision aligns with strategic objectives to drive impact and deliver value to the business.At Orbitant we promote:- Teamwork and ownership of your work- Sharing knowledge and learning constantly- Flexibility and freedom to carry out your work day-to-day- Push toward a higher orbit, for clients, for the team, and for yourself- Mentoring and being mentored. Constant growth.

• Automating and working in an AI-first way, betting on tools that help us.
• Enjoying what we do and feeling proud of the result.What are we looking for?