HPC Infrastructure Site Reliability Engineer

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.

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.

Join a team operating some of the world’s most advanced high-performance computing infrastructure. As a HPC Infrastructure SRE, you’ll work hands-on with cutting-edge GPU and CPU platforms — including the latest NVIDIA architectures — powering dense, large-scale compute environments used for AI, machine learning, and next-generation workloads.

This is an opportunity to build expertise at the forefront of modern infrastructure, where reliability, scale, and performance matter every day. You’ll collaborate with experienced engineers across a globally distributed organisation that values openness, inclusion, technical excellence, and continuous learning.

We move quickly, solve meaningful challenges, and give people the space to make an impact. If you thrive in fast-paced environments, enjoy working with advanced technology, and want to help shape the future of high-performance compute, you’ll find both challenge and opportunity here.

Exposure to industry-leading GPU and AI infrastructure

Opportunities to grow alongside a rapidly scaling global business

A collaborative, inclusive, and supportive engineering culture

Real ownership and the ability to influence operational excellence

Work that sits at the intersection of people, performance, and technology

A modern, flexible, globally connected workplace with ambitious goals

Key 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 reliability and operational efficiency

Optimise Linux systems for performance, including kernel, BIOS/firmware, and storage tuning for HPC workloads

Configure and operate bare-metal infrastructure using IPMI, iLO, iDRAC, Redfish, and related tooling

Partner with infrastructure tooling and observability teams to improve telemetry, alerting, and system visibility at scale

Own ITIL-aligned processes across Incident, Major Incident, Problem, and Change Management, ensuring strong execution and continuous improvement

Lead root cause analysis and ensure corrective actions are implemented and automated where possible

Play a key role in designing and delivering future HPC cluster and site builds, shaping global consistency and operational standards

Collaborate closely with Platform Engineering, Network Engineering, Infrastructure Tooling, and Data Centre Operations to improve reliability and deployment quality

Feed operational insight back into infrastructure design to influence next-generation HPC platform evolution

Deep experience with HPC workloads and GPU-accelerated infrastructure at scale

Experience with InfiniBand, RoCE, or other HPC-grade networking fabrics in production environments

Experience with HPC benchmarking, validation, or performance testing (e.g. linpac, fio, NCCL, ibdiagnet)

Exposure to large-scale multi-site or global infrastructure deployments