HPC Infrastructure Site Reliability Engineer

The role

This senior SRE will operate and improve high-density AI/HPC infrastructure in a 24/7 production environment. You will troubleshoot complex issues across compute, networking, storage, and orchestration layers while driving continuous service improvement through automation.

What you will do

• Operate and improve high-density AI/HPC infrastructure in a 24/7 production environment
• Participate in a 24x7x365 on-call rotation
• Troubleshoot complex issues across compute, networking, storage, and orchestration layers
• Lead performance evaluation, testing, and operational acceptance of new HPC infrastructure
• Drive continuous service improvement through automation, tooling, and process refinement
• Build and maintain infrastructure automation and tooling
• Optimise Linux systems for performance
• Configure and operate bare-metal infrastructure using IPMI, iLO, iDRAC, Redfish, and related tooling
• Partner with infrastructure tooling and observability teams
• Own ITIL-aligned processes across Incident, Major Incident, Problem, and Change Management

Required qualifications

• 8+ years experience in Site Reliability Engineering, Infrastructure Engineering, or similar roles in large-scale distributed production environments operating a 24/7 support model
• 2–3+ years recent experience in HPC and/or AI infrastructure, including GPU-based compute environments at scale
• Strong Linux expertise
• Proven experience in performance tuning across compute systems, including kernel, BIOS/firmware, and storage subsystem optimisation
• Strong hands-on experience with bare-metal infrastructure and out-of-band management tooling (IPMI, iLo, iDRAC, Redfish or equivalent)
• Solid networking fundamentals including TCP/IP, DNS, DHCP, VLANs, routing, and switching
• Exposure to NVIDIA GPU ecosystems, including CUDA-based workloads and GPU-accelerated compute environments, including the NVIDIA AI reference architecture
• Familiarity with high-performance networking technologies such as InfiniBand and RoCE
• Strong experience with infrastructure automation and scripting (e.g. Bash, Python, Ansible or similar IaC/tooling approaches)
• Understanding of observability principles and practical use of monitoring and telemetry systems (e.g. Prometheus, Grafana or equivalents)
• Understanding of workload schedulers and running workloads across multiple systems in parallel
• Practical experience with at least one parallel storage platform

Nice to have

• 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
• Bachelor or Masters Level degree in Computer Science, Engineering or related field, or equivalent ‘on-the-job’ experience
• LPIC Certifications
• ITIL Foundation level qualification or equivalent experience

Benefits

• 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

About the company

radiant is a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads.