Software​/Systems Engineer

Job description

We are looking for creative developers to join our ranks. As a member of our team, you will be asked to develop independently or in a team the various services and infrastructure for our data science platform, Renku.

Currently our development efforts are focused on user‑centric feature development and scaling up our Software as a Service offering.

• You are an experienced developer with a minimum of a BSc in Computer Science or related disciplines.
• You enjoy crafting elegant software solutions and are no stranger to building backend services with various types of APIs.
• You have excellent skills in Python;
  Scala, Go or Rust are a plus. Good, hands‑on systems knowledge of Linux is required; practical experience with Kubernetes, infrastructure‑as‑a‑service, cloud services, and other container‑based technologies is a strong plus.
• Beyond specific skills, we are interested in individuals who are excited to learn, are self‑motivated and have a great team‑oriented attitude.
• We encourage and expect independence and critical thinking but value highly the ability to work in a team, express ideas, and engage in constructive discussions that move the project forward.

We offer you a stimulating, collaborative, cross‑disciplinary environment in a world‑class research institution.

Our team of 15 hails from 13 countries and we are committed to upholding the team’s diversity in the future.

We deeply value work‑life balance and will readily consider part‑time employment options as well as home‑office work.

In this dynamic position, you will make full use of your engineering skills to develop backend services, contribute to feature design, investigate available technology options and ensure reliable service delivery for thousands of users across Switzerland and beyond.

Experimentation and creativity are actively promoted and learning of new technologies and approaches is an integral part of the job. We are dedicated to open source software and we strongly encourage our team members to seek out opportunities to engage with and contribute to open source communities as a part of their development process.

Your work at the SDSC will contribute to improving the process of collaborative data science by providing a path toward reproducibility and reusability, with potential for significant impact in scientific fields as varied as astronomy, ecology, and personalized medicine as well as the public and private sectors.

Working, teaching and research at ETH Zurich

In line with to find out how we ensure a fair and open environment that allows everyone to grow and flourish.

We look forward to receiving your online application with the following documents:

• Motivation letter
• cv
• References

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Swiss Data Science Center can be found on our website.

About ETH Zürich