Scientific Computing Systems Engineer

Scientific Computing Systems Engineer
The Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting\-edge research in the fields of future technologies, energy and climate, health innovation and fundamentals of nature. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore, about one quarter of our 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
Your tasks
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 , 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 a 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 our modern employment conditions and the on\-site infrastructure.
This is a fixed\-term position. The employment contract will (initially) be limited to end of March 2029\.
For further information, please contact Derek Feichtinger, phone .
Please submit your application online by 18\. August 2026 for the position as a Scientific Computing Systems Engineer (Index\-Nr. ).
Institute, Human Resources Management Simen, 5232 Villigen PSI, Switzerland

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