Site Reliability Engineer (EU Remote) - AI infrastructure

1658763
  • €200,000 gross per year
  • Amstelveen [Netherlands]
  • Permanent
  • 200000
  • Artificial Intelligence
  • AI Network

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! 

Responsibilities:

  • 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.

Skills / Must Have:

  • 7+ years of experience in SRE, DevOps, or Infrastructure Engineering roles supporting large-scale compute environments.
  • Strong hands-on experience with Kubernetes and Slurm for cluster orchestration and workload management.
  • Deep knowledge of Linux systems, networking, and GPU infrastructure (NVIDIA H100/H200/B200 preferred).
  • Proficiency in Python, Go, or Bash for automation, tooling, and performance tuning.
  • Experience with observability stacks (Prometheus, Grafana, Loki) and incident response frameworks.
  • Familiarity with high-performance computing (HPC) or AI/ML training infrastructure at scale.
  • Background in reliability engineering, distributed systems, or hardware acceleration environments is a strong plus.

Benefits:

  • IPO Equity

Salary:

  • €200,000+ gross per year 
Ben Davies Director Global AI Infrastructure

Apply for this role