Senior DevOps Engineer (AI + Azure)

WomenTech Network; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A tech-focused organization based in Madrid is looking for a Senior DevOps Engineer to build and operate cloud and AI infrastructure at scale. As part of a diverse team, you will manage Azure services using Terraform, CI/CD practices, and container orchestration. The ideal candidate will have strong skills in Linux and Python, and experience with LLM setups. This position emphasizes a commitment to diversity and innovation.

Formación

• 4+ years in DevOps/SRE/Platform Engineering.
• Strong Linux skills and experience troubleshooting.
• Experience with Terraform at scale and CI/CD integration.
• Deep knowledge of Azure services.
• CI/CD expertise with GitHub Actions or Azure DevOps.
• Hands-on experience with containers and Kubernetes.
• Proficient in Python scripting for automation.

Responsabilidades

• Build and maintain Azure infrastructure with Terraform.
• Design CI/CD with GitHub Actions or Azure DevOps.
• Run Kubernetes and manage container orchestration.
• Automate tasks using Python and implement observability.

Conocimientos

DevOps practices

Linux expertise

Terraform

Azure experience

CI / CD

Containers and Kubernetes

Python scripting

LLM setups

Herramientas

Terraform

Azure DevOps

GitHub Actions

Kubernetes

Prometheus

Grafana

Azure Monitor

Descripción del empleo

About Us

At EY wavespace Madrid - AI & Data Hub, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, data analytics, robotics, etc. Our center is dedicated to exploring the future of AI and Data.

Overview

We’re looking for a Senior DevOps Engineer to build and run cloud and AI infrastructure at scale. You’ll own IaC with Terraform, CI / CD, Kubernetes, and Linux. You’ll also help run LLM workloads both in Azure and locally (Ollama / vLLM / Your work will enable fast, secure, repeatable delivery.

Key responsibilities

• Build and maintain Azure infrastructure with Terraform (modules, workspaces, pipelines, policies).
• Design and operate CI / CD with GitHub Actions and / or Azure DevOps (multi-stage, approvals, environments).
• Run containers and Kubernetes / AKS (Helm, ingress, autoscaling, node pools, storage).
• Manage AI / LLM runtime : local model runners (Ollama, vLLM, , GPU / CPU configs.
• Support RAG : embeddings pipelines, vector DBs (Azure AI Search / Cognitive Search, pgvector, Milvus), data sync, retention.
• Automate platform tasks with Python (tooling, CLI utilities, API glue, ops scripts).
• Implement observability (Azure Monitor, Prometheus / Grafana, logs / traces / metrics, alerts, runbooks, SLOs).
• Apply Zero Trust security; Enforce least privilege and role-based access control (RBAC), Identity-based segmentation (Azure AD, Conditional Access, MFA).
• Implement policy-as-code (OPA, Azure Policy) for compliance.
• Rotate secrets and certificates via Key Vault; integrate with pipelines.
• Add continuous security scanning (SAST / DAST, container image scanning).
• Handle reliability : rollout strategies, health probes, incident response, postmortems.
• Optimize costs : right-sizing, autoscaling, budgets, tags, reporting.

Key requirements

• 4+ years in DevOps / SRE / Platform Engineering.
• Strong Linux (shell, systemd, networking, performance troubleshooting).
• Terraform at scale (modules, state backends, CI / CD integration).
• Deep Azure experience (AKS, VNets, Key Vault, Storage, Monitor, Identity, Networking).
• CI / CD expertise (GitHub Actions and / or Azure DevOps).
• Containers and Kubernetes in production.
• Python or scripting for automation (solid scripting and tooling; not full-time app dev).
• Hands-on with LLM setups (local runners or Azure OpenAI), embeddings, vector indexes, and RAG basics.

Nice to have

• Multi-cloud exposure ( AWS / GCP ).
• Azure AI services (Azure OpenAI, Cognitive Search).
• GitOps (Argo CD / Flux), Helm packaging, OCI registries.
• Eventing / queues (Event Grid, Service Bus, Kafka).
• Security / compliance in cloud (CIS, NIST, Microsoft CAF).
• Certifications : AZ‑104, AZ‑204, AZ‑400 , AI‑900 , HashiCorp Terraform Associate , CKA / CKAD .
• Experience with GPU nodes, drivers, CUDA / ROCm, or CPU-only optimizations for LLMs.

How we work

• Everything as code. PRs, reviews, and tests.
• Small batches. Trunk-based or short-lived branches.
• Clear runbooks and on‑call rotation where needed.
• Measure, alert, fix, and improve.

Our commitment to diversity & inclusion

We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.