DevOps Engineer – Build AI‑driven Infrastructure

About the role

We are seeking a hands‑on Platform Engineer to create the foundational infrastructure that powers AI‑driven drug discovery. This role focuses on building new systems from scratch rather than maintaining existing tools.

Key responsibilities

• Design and implement containerised solutions using Docker and Podman.
• Create multi‑service environments with Docker Compose or Docker Swarm.
• Develop end‑to‑end CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins).
• Automate workflows and build internal tooling for engineering and R&D teams.
• Operate at the Linux level – systemd, networking, shell scripting, and debugging.
• Support compute‑intensive scientific and AI workloads.

Required profile

• Proven experience building with Docker beyond simple container execution.
• Track record of designing CI/CD pipelines from the ground up.
• Strong Linux fundamentals, including shell scripting, networking and systemd.
• Ability to independently architect 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)
• Python (for automation – nice to have)
• Observability tools such as Prometheus and Grafana
• Infrastructure‑as‑Code tools like Ansible (or similar)