Scientific Computing Systems Engineer

PSI Paul Scherrer Institut; Villigen; Vor Ort; CHF 110.000 - 160.000; Vollzeit

Zusammenfassung

Paul Scherrer Institut in Villigen, Switzerland, invites applications for a Scientific Computing Systems Engineer in its High Performance Computing and Emerging Technologies group within Science IT, Infrastructure and Services. You will serve as the main systems engineer for PSI's WLCG Tier-3 cluster, operating Linux‑based research services.

The role emphasizes automation, DevOps, monitoring, and collaboration with the Swiss CMS community and CSCS, with opportunities to influence future Tier‑3

Qualifikationen

• Strong expertise in Linux systems administration within production or research‑computing environments.
• Experience with automation and DevOps practices, including configuration management tools such as Ansible or Puppet, scripting in Bash and Python, Git‑based workflows, and preferably CI/CD and infrastructure‑as‑code concepts.
• Experience with monitoring, troubleshooting, and debugging complex system and software issues in production environments.
• Strong analytical, problem‑solving, communication, and collaboration skills.
• Familiarity with batch systems, distributed computing infrastructure, container technologies, or high‑throughput computing environments is advantageous.
• Familiarity with WLCG infrastructure and services or scientific computing environments is a plus

Aufgaben

• Serve as the main systems engineer for PSI’s WLCG Tier‑3 cluster computing infrastructure supporting the CERN CMS experiment.
• Operate, maintain, and improve Linux‑based research‑computing services and infrastructure.
• Support and interact with the Swiss CMS computing user community using the Tier‑3 infrastructure.
• Collaborate with the national WLCG Tier‑2 center operated by CSCS.
• Contribute to the shared operational responsibilities and mutual backup within our HPC/HTC services for PSI.
• Contribute to the planning and evolution of future Tier‑3 and Tier‑2 infrastructure and services in preparation for the HL‑LHC era

Kenntnisse

Linux admin

Ansible

Puppet

Bash

Python

Git workflows

CI/CD

IaC concepts

Monitoring

Collaboration

Tools

Container technologies

Jobbeschreibung

The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. It performs cutting‑edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, PSI works on sustainable solutions for major challenges facing society, science and the economy. PSI is committed to training future generations; about one quarter of its staff are post‑docs, post‑graduates or apprentices. Altogether, PSI employs 2300 people.

For our High Performance Computing and Emerging Technologies group within the Science IT, Infrastructure and Services department we are looking for a

Scientific Computing Systems Engineer

• Serve as the main systems engineer for PSI’s WLCG Tier‑3 cluster computing infrastructure supporting the CERN CMS experiment
• Operate, maintain, and improve Linux‑based research‑computing services and infrastructure
• Support and interact with the Swiss CMS computing user community using the Tier‑3 infrastructure
• Collaborate with the national WLCG Tier‑2 center operated by the Swiss National Supercomputing Center CSCS
• Contribute to the shared operational responsibilities and mutual backup within our HPC/HTC services for PSI
• Contribute to the planning and evolution of future Tier‑3 and Tier‑2 infrastructure and services in preparation for the High‑Luminosity LHC (HL‑LHC) era

Your profile

• Strong expertise in Linux systems administration within production or research‑computing environments
• Experience with automation and DevOps practices, including configuration management tools such as Ansible or Puppet, scripting in Bash and Python, Git‑based workflows, and preferably CI/CD and infrastructure‑as‑code concepts
• Experience with monitoring, troubleshooting, and debugging complex system and software issues in production environments
• Strong analytical, problem‑solving, communication, and collaboration skills
• Familiarity with batch systems, distributed computing infrastructure, container technologies, or high‑throughput computing environments is advantageous
• Familiarity with WLCG infrastructure and services or scientific computing environments is a plus

We offer

Our institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with modern employment conditions and on‑site infrastructure.

This is a fixed‑term position. The employment contract will (initially) be limited to the end of March 2029.

Please submit your application online by 18. August 2026 for the position as a Scientific Computing Systems Engineer (Index‑Nr. 7905‑28618).