The Swiss Data Science Center (SDSC) is a national center between EPFL and ETH Zurich, whose mission is to accelerate the use of data science and machine learning techniques broadly within academic disciplines of the ETH Domain, the Swiss academic community at large, and the industrial sector. The SDSC is composed of a large multi-disciplinary team of data & computer scientists and experts in relevant domains, distributed between our offices in Lausanne and Zurich. Ideally, this position would be filled in our Lausanne office: https://recruitingapp-2863.umantis.com/Vacancies/1411/Description/2?lang=eng. Please apply for Zurich only if relocation to Lausanne is not an option.
The mission of the engineering team is two-fold: first and foremost, we build and deploy Renku (see our beta deployment at renkulab.io), a software platform that empowers data scientists to produce reproducible, reusable and verifiable analyses. Second, we play a vital part in the many data science projects of the SDSC by contributing our engineering expertise to the construction of data analysis pipelines.
We are looking for creative engineers to join our ranks. As a member of our team, you will be asked to develop, deploy and monitor the various services of our data science platform. Our engineering and operations team loosely follows an agile methodology and we expect all of our members to contribute their unique viewpoints to the overall decision making. The platform we are building is extremely multi-faceted which means that our team is equally varied and eager to learn. As a critical part of the development and deployment process, we actively collaborate with data scientists from the academia and industry to gather requirements for improving the usability of our platform.
You will be asked to contribute to the deployment and development of the Renku platform in various ways. Specifically, this includes tasks like:
- Deploying and maintaining kubernetes clusters
- Deploying and maintaining instances of the Renku platform
- Improving the Renku deployment process by applying infrastructure-as-code principles
- Developing new and improving existing microservices which handle central aspects of the Renku platform (interaction with infrastructure layer, authentication, internal routing, etc)
- Profiling the platform and improving performance
- Troubleshooting and debugging failures
You are an experienced engineer with a minimum of a BSc in Computer Science or related disciplines. You have experience with Docker and ideally also with container orchestration (Kubernetes); knowing how to set up and maintain linux servers in a cloud ecosystem is a big plus. You are familiar with continuous integration and have hands-on experience with designing automation pipelines for application development and deployment. Experience with helm charts or with an infrastructure-as-code technology (Pulumi, Terraform, etc) is a plus.
In addition, you have experience in building applications with Python; knowledge of a python-based web development stack or further programming languages (Scala) are also considered a plus.
We offer you a stimulating, collaborative, cross-disciplinary environment in a world-class research institution. Our team of 13 hails from 10 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 occasional or regular home-office work. In this dynamic position, you will make full use of your engineering skills to develop backend services, improve the stability, scalability, and performance of our platform, contribute to design decisions and investigate available technology options. We encourage experimentation and creativity by actively promoting learning of new technologies and approaches on 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 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.
If you have questions regarding this position, do not hesitate to send an email to: firstname.lastname@example.org.
We look forward to receiving your online application with the following documents:
- Copy of highest diploma
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 (SDSC) can be found on our website https://datascience.ch. Questions regarding the position should be directed to Nina Pupikofer, Tel +41 44 632 80 74 or email email@example.com (no applications).