Site Reliability Engineer (EU Remote) - AI infrastructure

• IPO Equity
• €200,000+ gross per year

Join a seed-stage AI infrastructure company building large-scale training and inference platforms previously accessible only to hyperscalers. The business began with a single managed GPU cluster that reached capacity almost immediately and has since expanded into a global platform spanning infrastructure, networking, and orchestration.

They are now seeking a Site Reliability Engineer to join their Eu operations in this remote role. This is ideal if you have 7 years of experience in SRE, DevOps, or Infrastructure Engineering roles and have had exposure to supporting large-scale compute environments.

If you are interested in this exciting opportunity, get in touch and apply today!

• Design, deploy, and maintain large-scale GPU clusters (H100/H200/B200) for training and inference workloads.
• Build automation pipelines for provisioning, scaling, and monitoring compute resources across Slurm and Kubernetes environments.
• Develop observability, alerting, and auto-healing systems for high-availability GPU workloads.
• Collaborate with ML, networking, and platform teams to optimise resource scheduling, GPU utilisation, and data flow.
• Implement infrastructure-as-code, CI/CD pipelines, and reliability standards across thousands of nodes.
• Diagnose performance bottlenecks and drive continuous improvements in reliability, latency, and throughput.