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!
Key Skills
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- Posted
- Jul 03, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Dublin
- Company
- Ingenio Global
Industries
Categories
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