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Site Reliability Engineer (GPU Infrastructure)

Hamilton Barnes ๐ŸŒณ โ€ข United Kingdom
Remote
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Key Highlights
Fully remote role based in the UK
Focus on live production GPU infrastructure for AI workloads
Emphasis on automation, observability, and root cause analysis
Key Responsibilities
Ensure reliability and performance of production GPU infrastructure and networking
Design, build, and maintain observability, monitoring, and dashboards
Develop Python-based automation for incident triage, runbook execution, and operational tasks
Technical Skills Required
GPU Infrastructure Python Observability Tools (Prometheus, Grafana)
Benefits & Perks
Real production scope from day one
Fully remote work from anywhere in the UK
Focus on automation and root cause analysis
Nice to Have
Low latency networking or InfiniBand experience
Platform engineering background (Kubernetes, infrastructure as code)
HPC infrastructure exposure (Slurm managed clusters)
ChatOps and ITSM integration experience

Job Description

A high growth GPU cloud provider is hiring a Site Reliability Engineer to keep large scale production GPU infrastructure fast, stable and observable. This isn't a sandbox or legacy estate, you'd be working directly on live infrastructure supporting demanding AI workloads, sitting where reliability, networking and platform engineering meet.

The role is fully remote from anywhere in the UK, within a small and technically strong engineering led team.

What's in it for you?

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