HPC Infrastructure Site Reliability Engineer

About the Company

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.

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
• Lead root cause analysis and ensure corrective actions are implemented and automated

Requirements

• 8+ years experience in SRE, Infrastructure Engineering, or similar in large-scale distributed environments
• 2–3+ years recent experience in HPC and/or AI infrastructure with GPU-based compute
• Strong Linux expertise (preferably Ubuntu) and systems administration
• Proven experience in performance tuning (kernel, BIOS/firmware, storage)
• Hands-on experience with bare-metal infrastructure and out-of-band management (IPMI, iLo, iDRAC, Redfish)
• Solid networking fundamentals (TCP/IP, DNS, DHCP, VLANs, routing, switching)
• Exposure to NVIDIA GPU ecosystems and CUDA-based workloads
• Familiarity with high-performance networking (InfiniBand, RoCE)
• Strong experience with infrastructure automation and scripting (Bash, Python, Ansible)
• Understanding of observability principles (Prometheus, Grafana)
• Understanding of workload schedulers and parallel storage platforms
• Experience working in ITIL-aligned environments

Preferred Qualifications

• Bachelor or Masters degree in Computer Science, Engineering, or related field
• LPIC Certifications
• ITIL Foundation level qualification