The Swiss National Supercomputing Centre (CSCS) develops and operates a high-performance computing and data research infrastructure supporting 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 with offices in Lugano and Zurich. For this position, the preferred work location is Lugano, but Zurich is also possible.
We are seeking a versatile and driven DevOps Engineer to help design, build, and operate the software-defined infrastructure and services powering advanced scientific computing and AI/ML workloads at scale. You will work at the intersection of systems engineering, software engineering, cloud-native infrastructure, and high-performance computing (HPC), contributing to platforms and services used by researchers and engineers tackling complex scientific and AI challenges.
This is a contract initially limited to two years, with the opportunity to contribute to a fast-evolving AI landscape in which CSCS plays a key role, including contributions to the Swiss AI Initiative and similar programs. The contract could potentially be extended or become permanent.
Tasks
- Design, deploy, automate, and operate scalable infrastructure and cloud-native platform services
- Contribute to Kubernetes-based AI/ML and HPC platforms, including CI/CD, GitOps, 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
Requirements
- Combination of up-to-date software development and Linux administration skills
- Ability to rapidly understand, deploy, and operate third-party software products
- Solid theoretical foundation in computer science or related fields
- Experience in some of the following areas: Linux systems engineering, software development (e.g., Python, Bash), containers, Kubernetes, CI/CD, GitOps, Infrastructure as Code (e.g., Terraform, Helm, Ansible, ArgoCD), distributed systems concepts, APIs, scalability, observability, identity and access management, security, AI/ML platforms and supporting infrastructure services, HPC systems, GPU clusters, 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
- Ways to stand out: 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
Benefits
- Commitment to building a diverse and inclusive engineering team
- Support for professional development
- Public transport season tickets and car sharing
- Wide range of sports offered by the ASVZ
- Childcare and attractive pension benefits
- Exciting working environment and cultural diversity
- Attractive offers and benefits
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Über uns
Das Team
The team values strong engineering fundamentals, curiosity, adaptability, and willingness to learn. Diversity and inclusion are important, and applications from groups underrepresented in tech are particularly encouraged. The team promotes equality of opportunity, values diversity, and nurtures a working and learning environment where the rights and dignity of all staff and students are respected.