HPC Infrastructure Site Reliability Engineer

Job summary

We are seeking 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 operations-first SRE role involves working in a 24/7/365 on-call environment, responsible for ensuring reliability, performance, and continuous improvement of mission-critical infrastructure. The ideal candidate will have a strong background across bare metal, networking, storage, virtualization, and orchestration, alongside deep HPC experience.

Benefits

Qualifications

• deep experience operating large-scale distributed systems
• recent hands-on expertise in high-performance computing (HPC) and AI infrastructure
• experience in large-scale, globally distributed or multi-site infrastructure environments
• specialized in GPU-accelerated HPC systems
• strong breadth across bare metal, networking, storage, virtualization, and orchestration
• deep HPC experience including NVIDIA GPU ecosystems, RDMA networking (RoCE and InfiniBand), and performance validation and benchmarking
• strong Linux and distributed systems expertise
• 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 (preferably Ubuntu), including deep systems administration and production troubleshooting
• proven experience in performance tuning across compute systems, including kernel, BIOS/firmware, and storage subsystem optimization
• 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, with exposure to high-performance networking environments
• 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
• experience working in ITIL-aligned environments, including Incident, Major Incident, Problem, and Change Management

Responsibilities

• ensure reliability, performance, and continuous improvement of mission-critical infrastructure
• investigate complex, cross-layer issues spanning GPU compute, networking, storage, and orchestration
• perform performance evaluation, testing, and operational acceptance of new HPC environments
• work across hardware, network, and software layers to validate readiness of high-density GPU infrastructure and support safe, predictable deployment at scale
• play a central role in continuous service improvement (CSI)—reducing operational toil, increasing automation, and improving reliability, consistency, and operational efficiency across the platform
• strengthen observability, refine operational workflows, and eliminate repetitive or failure-prone processes
• 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
• 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
• optimize 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

Skills

Certifications

Degrees

Work schedule

Industry

Relocation