Senior HPC Systems Engineer — Lead Compute & Automation

Selby Jennings

Amsterdam

On-site

EUR 90,000 - 130,000

Full time

14 days+

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Job summary

Selby Jennings in Amsterdam seeks an experienced Senior HPC Systems Engineer to join its infrastructure team. You will build, support and optimise HPC environments that power research, simulation and trading workloads, collaborating with research, engineering and IT to keep systems reliable and performant.

This hands-on role covers Linux, networking, storage, and automation in a performance-critical setting.

Qualifications

5+ years of Linux systems engineering, HPC administration or related infrastructure experience.
Experience with RHEL, Rocky Linux or CentOS.
Experience operating HPC clusters in production environments.
Knowledge of workload schedulers such as SLURM, Moab or Torque.
Experience with infrastructure automation tools such as Terraform, Ansible, Salt or xCAT.
Understanding of high-speed networking technologies, including InfiniBand and low-latency Ethernet environments.
Experience with enterprise storage platforms and parallel file systems such as Lustre, GPFS/Spectrum Scale, Weka, VAST, NetApp or DDN.
Ability to write and maintain Python scripts for automation.
Strong troubleshooting across operating systems, networking, storage and distributed infrastructure.
Excellent communication skills and ability to work across multiple technical teams.

Responsibilities

Manage and optimise HPC infrastructure supporting research and production environments.
Administer and maintain Linux-based compute clusters.
Monitor performance across compute, storage and networking layers and identify opportunities for optimisation.
Support and manage workload scheduling platforms such as SLURM and similar resource management tools.
Troubleshoot infrastructure, application and performance issues through root cause analysis.
Develop automation to improve reliability, scalability and operational efficiency.
Support high-performance storage platforms, parallel file systems and cluster infrastructure.
Work with internal stakeholders to deliver infrastructure upgrades, hardware refreshes and platform improvements.
Collaborate with external vendors and technology partners on infrastructure projects and support activities.
Contribute to the design and implementation of future HPC and research computing initiatives.