HPC Infrastructure Site Reliability Engineer
External
Radiant · GloucestershirePrepare for this interview
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About the role
We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are looking for a senior Infrastructure Site Reliability Engineer with deep experience operating large-scale distributed systems and recent hands-on expertise in high-performance computing (HPC) and AI infrastructure. This is an operations-first SRE role, working in a 24/7/365 on-call environment, responsible for ensuring reliability, performance, and continuous improvement of mission-critical infrastructure. This role sits within a cross-functional organisation spanning network engineering, infrastructure SRE, Platform SRE, infrastructure tooling engineers (software) and data centre operations. The ideal candidate has progressed through large-scale, globally distributed or multi-site infrastructure environments and has more recently specialised in GPU-accelerated HPC systems. This role provides exposure to the latest high-density AI compute platforms , including next-generation GPU infrastructure at significant scale. You will bring strong breadth across bare metal, networking, storage, virtualisation, and orchestration, alongside deep HPC experience including NVIDIA GPU ecosystems, RDMA networking (RoCE and InfiniBand), and performance validation and benchmarking. Strong Linux and distributed systems expertise is essential. Alongside operational ownership, this is a deeply technical Infrastructure SRE role centred on advanced operational troubleshooting and performance evaluation across large-scale HPC systems. You will investigate complex, cross-layer issues spanning GPU compute, networking, storage, and orchestration, building a clear understanding of system behaviour under real production AI and HPC workloads. A key responsibility is performance evaluation, testing, and operational acceptance of new HPC environments, ensuring platforms meet defined reliability, scalability, and performance expectations before entering production. You will work across hardware, network, and software layers to validate readiness of high-density GPU infrastructure and support safe, predictable deployment at scale. You will also play a central role in continuous service improvement (CSI)-reducing operational toil, increasing automation, and improving reliability, consistency, and operational efficiency across the platform. This includes strengthening observability, refining operational workflows, and eliminating repetitive or failure-prone processes. Over time, you will help shape future infrastructure design and deployment approaches, feeding operational insight back into infrastructure engineering decisions and ensuring production learnings directly influence next-generation HPC platform evolution.
Responsibilities
- Operate and improve high-density AI/HPC infrastructure in a 24/7 production environment
- Participate in a 24x7x365 on-call rotation , supporting mission-critical systems and incident response
- Troubleshoot complex issues across compute, networking, storage, and orchestration layers in GPU-accelerated environments
- Lead performance evaluation, testing, and operational acceptance of new HPC infrastructure before production release
- Drive continuous service improvement (CSI), reducing toil through automation, tooling, and process refinement
- Build and maintain infrastructure automation and tooling (IaC and scripting) to improve reliabi
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