DevOps Engineer

ppbThe Swiss National Supercomputing Centre (CSCS) /b 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. /p pFor this position the preferred work location is Lugano, but it could also be Zürich. /p h3Project background /h3 pWe 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. /p pYou 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. /p pWe value strong engineering fundamentals, curiosity, adaptability, and willingness to learn more than a perfect initial match of technical requirements.

We welcome engineers from diverse backgrounds who are eager to contribute and grow. If you are motivated by challenging technical environments and enjoy understanding systems deeply, we strongly encourage you to apply even if your experience does not cover every area listed below. /p pWe are offering a contract binitially limited to two years /b, which will provide the opportunity to contribute to a fast‑evolving AI landscape in which CSCS plays a key role and to support high‑impact initiatives both nationally and internationally.

This includes contributions to the Swiss AI Initiative and similar programs, such as lending support for the development and release of the Apertus models. /p pThe initial two‑year contract could potentially be extended or even become permanent. /p h3Job description /h3 ul liDesign, deploy, automate, and operate scalable infrastructure and cloud‑native platform services /li liContribute to Kubernetes‑based AI/ML and HPC platforms, including CI/CD, GitOps, observability, security, and operational tooling /li liCollaborate with researchers and engineers to support complex workflows, troubleshoot production environments, and improve reliability and performance /li liContribute to platform engineering, automation, and developer productivity initiatives across evolving systems and services /li liThe 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 /li /ul h3Profile /h3 pThe 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. /p pbTechnical environment and areas of interest: /b /p ul liLinux systems engineering, scripting, troubleshooting, and software development (e.g., Python, Bash) /li liContainers, Kubernetes, CI/CD, GitOps, and Infrastructure as Code (e.g., Terraform, Helm, Ansible, ArgoCD) /li liDistributed systems concepts, APIs, scalability, observability, identity and access management, and security /li liAI/ML platforms and supporting infrastructure services /li liHPC systems, GPU clusters, and large‑scale infrastructure environments /li liPlatform engineering and developer productivity tooling /li liSecure or confidentiality‑sensitive operational environments /li /ul pbPersonal qualities: /b /p ul liCurious, hands‑on, and eager to understand systems inside‑out /li liStrong engineering mindset and

problem‑solving attitude /li liComfortable learning new technologies and working across disciplines /li liEffective communicator and collaborative team player /li /ul pbWays to stand out from the crowd: /b /p ul liExperience supporting research or scientific computing environments /li liFamiliarity with HPC systems and services /li liExposure to GPU clusters and accelerated computing /li liExperience with SRE practices or on‑call operations /li liAdvanced Linux security knowledge /li /ul pAbility to leverage AI‑assisted software development for increased productivity /p pbOur core values as guiding principles: /b /p ul liCuriosity: You enjoy learning and understanding systems deeply /li liOpenness: You collaborate effectively and value different perspectives /li liCourage: You are willing to tackle difficult or unfamiliar problems /li liSupportive: You help colleagues and users succeed

/li liIntegrity: You act responsibly, reliably, and transparently /li /ul h3We offer /h3 pWe are committed to building a diverse and inclusive engineering team and particularly encourage applications from groups underrepresented in tech.

If you are technically adept, curious, and eager to grow, we want to hear from you. /p ul liYour job with impact: Become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society /li liYou 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 /li liYou can look forward to an exciting working environment, cultural diversity and attractive offers and benefits. /li liWe value the diversity of our team and, to further enhance the diversity of our workforce, we particularly encourage women to apply. /li /ul h3We value diversity and sustainability /h3 pIn line with our values, ETH Zurich encourages an inclusive culture.

We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future. /p /p