Own the reliability, availability and performance of HPC platforms supporting simulation, analysis and engineering workloads
Improve compute, storage, networking and scheduling services to enable efficient, scalable workload delivery
Provide technical escalation for HPC incidents, capacity issues, performance bottlenecks and complex user problems, Maintain stable, secure and performant HPC services for critical engineering workloads
Improve compute and storage utilisation through effective monitoring, queue management and capacity planning
Resolve incidents quickly and reduce repeat issues through automation, documentation and service improvement
Deliver upgrades, maintenance and project work safely with clear communication and change control
Improve simulation throughput, data availability and user productivity
Define and guide strategic direction on HPC related topics, The role combines operational support and project delivery, including planned maintenance, capacity improvement, lifecycle management and occasional out-of-hours activity

Be skilled at…
Administering Linux-based HPC clusters, including compute nodes, schedulers and shared platform services
Troubleshooting issues across hardware, OS, network, storage, applications and user workflows
Managing capacity, performance and availability for engineering and simulation workloads
Automating operational tasks using Bash, Python, PowerShell, Ansible or equivalent tools
Translating technical user requirements into practical service improvements
Supporting Linux-based HPC, scientific computing, simulation or high-throughput compute environments
Diagnosing workload, queue, licence, performance, data movement and application issues
Operating at a senior technical level in an enterprise or engineering-led environment
Delivering maintenance, upgrades, patching and change activity with minimal service impact
Working with suppliers and internal teams to resolve platform issues and improve service maturity
HPC architecture, parallel workloads, scheduling, queues and resource allocation
Linux administration, scripting, patching and secure configuration
Schedulers such as Slurm, PBS, LSF or equivalent
Scale-out storage, file systems, backup, archive and data lifecycle management
Networking, interconnects, latency, bandwidth and data locality considerations
Monitoring, performance tuning, benchmarking and capacity forecasting
Security, vulnerability management, access control and compliance for shared platforms
Desirable: motorsport, automotive, CFD, simulation or data science experience, Relevant degree, apprenticeship, professional qualification or equivalent technical experience
Relevant technical certifications, or equivalent experience, in Linux, HPC, storage, networking, automation or ITIL
Analytical, curious and comfortable solving complex technical problems
Proactive in improving resilience, reducing risk and removing operational friction
Structured, communicative and effective across hands-on delivery and change control
Collaborative, customer-focused and willing to share knowledge

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