Ingénieur systèmes en calcul scientifique

ppThe Paul Scherrer 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. /ppFor our High Performance Computing and Emerging Technologies group within the Science IT, Infrastructure and Services department we are looking for a /ph3Your tasks /h3ulliServe as the main systems engineer for PSI’s WLCG Tier-3 cluster computing infrastructure supporting the CERN CMS experiment /liliOperate, maintain, and improve Linux-based research-computing services and infrastructure /liliSupport and interact with the Swiss CMS computing user community using the Tier-3 infrastructure /liliCollaborate with the national WLCG Tier-2 center operated by the Swiss National Supercomputing Center CSCS /lilicontribute to the shared operational responsibilities and mutual backup within our HPC/HTC services for PSI /liliContribute 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 /li /ulh3Your profile /h3ulliStrong expertise in Linux systems administration within production or research-computing environments /liliExperience 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 /liliExperience with monitoring, troubleshooting, and debugging complex system and software issues in production environments /liliStrong analytical, problem-solving, communication, and collaboration skills /liliFamiliarity with batch systems, distributed computing infrastructure, container technologies, or high-throughput computing environments is advantageous /liliFamiliarity with WLCG infrastructure and services or scientific computing environments is a plus /li /ulh3We offer /h3pOur 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. /ppThis is a fixed-term position. The employment contract will (initially) be limited to end of March 2029. /ppPaul Scherrer Institute, Human Resources Management Luca Simen, 5232 Villigen PSI, Switzerland /p /p #J-18808-Ljbffr