Systems Engineer - Cloud and Platform Services

Systems Engineer – Cloud and Platform Services

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.

As high-performance computing, AI, and cloud technologies continue to converge, CSCS is redefining how to design and deliver advanced computational services. Modern scientific and engineering workloads are no longer just large; they are complex, data-intensive, and highly diverse, meaning they push existing infrastructure to its limits.

This position is funded via the Helvetic AI Resources, Technologies, and Services (HEARTS) project, and is based on a two‑year contract, which can be extended or potentially become permanent.

• Curiosity: You enjoy learning, exploring new ideas, and understanding problems deeply.
• Openness: You listen, collaborate, and are receptive to different perspectives.
• Courage: You take responsibility and tackle challenging or ambiguous problems. You are willing to take initiative and have the difficult conversations that can move a team forward.
• Supportive: You help colleagues and users succeed and contribute to a positive team culture.
• Integrity: You act honestly, ethically, and reliably, and take ownership of your work.

• The primary goal of this position is to design, implement, and operate scalable inference services within a multi‑tenant HPC infrastructure.
• As a systems engineer, you will play a key role in the architecture deployment, operation, and documentation of production‑grade inference platforms that support a wide range of AI‑driven workloads.

Your work will directly influence the evolution of CSCS’s AI and HPC capabilities, which will improve the performance, reliability, and efficiency of our inference services and enable researchers and engineers to deploy and run advanced models at scale.

You should have a bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience.

• Infrastructure‑as‑code tools (e.g. Terraform/open
  
  Tofu)
• Automation tools and framework, including CI/CD processes and ecosystem (e.g., Gitlab CI, Hashi Corp Vault)

• Versioning systems and CI/CD workflows such as ArgoCD.
• Automated installation systems for physical servers, such as MAAS or Foreman.
• Developing Ansible configurations.
• Developing services on top of Kubernetes.

• Self‑motivated and proactive team player.
• Strong communication skills or interest in developing them.
• Strong problem‑solving mindset with tolerance for uncertainty and change.
• Understands user needs and works collaboratively to address them.
• Adaptive and willing to learn new technologies with and from others.
• Comfortable tackling complex or ambiguous problems.
• Comfortable admitting when you don’t know, reaching out and leveraging the right expertise when needed.

• Experience with working in self‑organised teams.
• Familiarity with Agile methodology.
• Experience with test‑driven development is a plus.

• 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.
• We are committed to building a diverse and inclusive engineering team and particularly encourage applications from women and others underrepresented in tech. If you are technically strong, curious, and eager to grow, we want to hear from you.
• 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.

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning…