DevOps Engineer | €65k

Most DevOps roles are about operating systems that already exist. This one is about building the infrastructure that doesn’t exist yet. It's powering AI-driven drug discovery through large-scale simulation and computational science. We’re looking for a hands-on Platform Engineer who builds systems from the ground up , not someone who configures tools built by others. What you’ll do Build containerised systems using Docker / Podman Design multi-service environments using Docker Compose / Swarm Build CI/CD pipelines end-to-end ( GitHub Actions, GitLab CI, Jenkins ) Develop automation and internal tooling used by engineering and R&D teams Work at Linux level (systemd, networking, shell scripting, debugging) Support compute-heavy scientific and AI workloads Mandatory requirements Proven experience building with Docker (not just running containers) Experience designing and building CI/CD pipelines from scratch Strong Linux fundamentals (shell scripting, networking, systemd) Hands-on ability to build and structure infrastructure systems independently Nice to have Python for automation and tooling Observability tools (Prometheus, Grafana, alerting systems) Exposure to HPC, AI, simulation, or research computing environments Infrastructure-as-Code (Ansible or similar) You are not a fit if you: Only use managed DevOps/cloud platforms Mainly configure existing pipelines and infrastructure Don’t have strong Linux-level troubleshooting ability Prefer ticket-based or maintenance-style work Why this role This is not a DevOps maintenance role. It’s a builder role inside a deep-tech environment where infrastructure directly enables scientific discovery and AI-driven drug development . If you like designing systems properly from scratch, this will feel like home. APPLY NOW!