DevOps Engineer – Build AI-driven infrastructure

About the role

We are seeking a hands‑on Platform Engineer to build the infrastructure that powers AI‑driven drug discovery. This role focuses on creating new systems from the ground up rather than maintaining existing tools.

Key responsibilities

• Build containerised systems using Docker and Podman.
• Design multi‑service environments with Docker Compose and Docker Swarm.
• Create end‑to‑end CI/CD pipelines using GitHub Actions, GitLab CI, and Jenkins.
• Develop automation and internal tooling for engineering and R&D teams.
• Work at the Linux level (systemd, networking, shell scripting, debugging).
• Support compute‑heavy scientific and AI workloads.

Required profile

• Proven experience building with Docker (beyond just running containers).
• Experience designing and building CI/CD pipelines from scratch.
• Strong Linux fundamentals, including shell scripting, networking, and systemd.
• Hands‑on ability to independently build and structure infrastructure systems.
• Not a fit for candidates who only use managed cloud platforms, mainly configure existing pipelines, lack deep Linux troubleshooting skills, or prefer ticket‑based maintenance work.

Required skills

• Docker
• Podman
• Docker Compose
• Docker Swarm
• GitHub Actions
• GitLab CI
• Jenkins
• Linux (systemd, networking, shell scripting, debugging)
• Python (nice to have)
• Prometheus (nice to have)
• Grafana (nice to have)
• Ansible or similar IaC tool (nice to have)