DevOps Engineer

Dev Ops Engineer

80%-100%, Lugano, fixed-term

The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure that supports world-class science in Switzerland. Its user laboratory is available to domestic and international researchers in academia, industry, and the business sector. The centre is operated by ETH Zurich and has offices at its data centre in Lugano and in Zurich.

For this position the preferred work location is Lugano, but it could also be Zürich.

• Design, deploy, automate, and operate scalable infrastructure and cloud-native platform services
• Contribute to Kubernetes-based AI/ML and HPC platforms, including CI/CD, Git Ops, observability, security, and operational tooling
• Collaborate with researchers and engineers to support complex workflows, troubleshoot production environments, and improve reliability and performance
• Contribute to platform engineering, automation, and developer productivity initiatives across evolving systems and services
• The technologies and areas below illustrate the breadth of our environment and interests. They are not a checklist of requirements, and experience in only some of these areas is expected

Successful applications should demonstrate a combination of up-to-date software development and Linux administration skills, the ability to rapidly understand, deploy, and operate third‑party software products, and a solid theoretical foundation in computer science or related fields.

• Linux systems engineering, and software development (e.g., Python, Bash)
• Containers, Kubernetes, CI/CD, Git Ops, and Infrastructure as Code (e.g., Terraform, Helm, Ansible, ArgoCD)
• Distributed systems concepts, APIs, scalability, observability, identity and access management, and security
• AI/ML platforms and supporting infrastructure services
• HPC systems, GPU clusters, and large-scale infrastructure environments
• Platform engineering and developer productivity tooling
• Secure or confidentiality-sensitive operational environments

• Curious, hands‑on, and eager to understand systems inside‑out
• Strong engineering mindset and problem‑solving attitude
• Comfortable learning new technologies and working across disciplines
• Effective communicator and collaborative team player

• Experience supporting research or scientific computing environments
• Familiarity with HPC systems and services
• Exposure to GPU clusters and accelerated computing
• Experience with SRE practices or on‑call operations
• Advanced Linux security knowledge
• Ability to leverage AI tools for increased productivity

• Curiosity:
  You enjoy learning and understanding systems deeply
• Openness:
  You collaborate effectively and value different perspectives
• Courage:
  You are willing to tackle difficult or unfamiliar problems
• Supportive:
  You help colleagues and users succeed
• Integrity:
  You act responsibly, reliably, and transparently

• Your job with impact:
  Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
• You can expect numerous benefits, such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ, childcare and attractive pension benefits
• You can look forward to an exciting working environment, cultural diversity and attractive offers and benefits
• We value the diversity of our team and, to further enhance the diversity of our workforce, we particularly encourage women to apply

We are committed to building a diverse and inclusive engineering team and particularly encourage…