DevOps Engineer – Build New Infrastructure for AI Drug Discovery

About the role

We are looking for a hands‑on Platform Engineer to create the foundational infrastructure that powers AI‑driven drug discovery. This role goes beyond operating existing systems – you will design and build the platforms that enable large‑scale scientific simulations from the ground up.

Key responsibilities

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

Required profile

• Proven experience building with Docker, not just running containers.
• Strong Linux fundamentals, including shell scripting, networking and systemd.
• Ability to design and implement CI/CD pipelines from scratch.
• Self‑starter who can independently structure infrastructure systems.

Required skills

• Docker / Podman
• Docker Compose / Docker Swarm
• GitHub Actions, GitLab CI, Jenkins
• Linux (systemd, networking, shell scripting, debugging)
• Python (for automation – nice to have)
• Observability tools: Prometheus, Grafana
• Infrastructure‑as‑Code: Ansible or similar