Linux System Engineer

Senior Linux HPC Engineer

You will support and maintain enterprise-scale Linux and High-Performance Computing (HPC) environments, working with Red Hat Enterprise Linux 9, Slurm and GPU computing technologies.

Contract: 12 months
Location: Stevenage, Hertfordshire, UK
Working pattern: Hybrid, 3 days onsite per week

The Project

You will manage and secure a scientific computing environment supporting research applications and computational workloads. Working alongside research scientists and technical teams, you will help deliver reliable, secure and high-performing HPC services.

Key Responsibilities

• Administer, patch and secure RHEL 7, 8 and 9 environments.
• Deploy, configure and manage Slurm workload scheduling.
• Monitor and optimise HPC cluster performance and resource utilisation.
• Support scientific software, compilers, libraries and MPI environments.
• Troubleshoot hardware, operating system, scheduler and application issues.
• Work with scientists to optimise computational workloads.
• Manage incidents and service requests through ServiceNow.
• Collaborate with networking, storage, security and DevOps teams.

Technical Skills

Essential:

• 10+ years' enterprise IT experience.
• 3-5 years' HPC or research computing experience.
• Strong RHEL 7, 8 and 9 administration.
• HPC cluster management and Slurm.
• Linux-based scientific application support.
• ServiceNow or equivalent ITSM platform.

Desirable:

• Docker and container technologies.
• Ansible and configuration management.
• GPU computing and CUDA.
• OpenMPI, MPICH and InfiniBand.
• High-speed Ethernet and HPC networking.
• Web server configuration and SSL certificates.
• RHCSA or RHCE certifications.

Eligibility and Contact

UK right-to-work candidates only, including eligible dependant visa holders and those with ILR. Unfortunately, visa sponsorship or Skilled Worker visa support is not available.

Desired Skills and Experience

Linux, High Performance Computing, HPC, Red Hat Enterprise Linux (RHEL), Linux System Administration, Slurm, HPC Cluster Management, ServiceNow, CUDA, GPU Computing, Ansible,