System Engineer for DSpace (m/f/d)

Introductory text
The ETH library promotes knowledge, supports research and teaching, and as a trustworthy institution, makes the world of yesterday, today, and tomorrow more comprehensible. Due to a sickness-related absence, we are looking for a System Engineer for DSpace 80% (m/f/d) to support the Data Science & Research Support team, starting immediately, initially fixed-term until 30 June 2027.

Tasks/Job Description
In this role, you will work in an excellently structured, active team that provides the archives and research institutions of one of the most renowned universities in the world with diverse offerings.

Your area of responsibility is in a dynamic environment with a motivating working atmosphere: within the team, you will set up a new instance of the Research Collection – the repository for publications and research data of ETH Zürich.

Your field of expertise is varied and includes the following tasks:

Participation in the containerization of the components of DSpace
Participation in the development of the images with the Dspace-Fork used

Your Profile
Experience in the server administration of Dspace or
Proven know-how in the operation and administration of Angular and Tomcat applications under Linux
Additionally, we would be pleased if you bring experience in the following fields:

Container environments
PostgreSQL
Solr
Apache Webserver

We offer
Your profession with impact: Become part of ETH Zürich, which not only supports your professional development but also actively contributes to positive changes in society
Numerous benefits await you, such as public transport subscriptions and car sharing, a wide range of sports offers from ASVZ, childcare, as well as attractive pension benefits

Curious? So are we.
If you enjoy working with a wide variety of experts in an excellent university environment, then we look forward to your online application with the following documents:

CV

Further information about the ETH library can be found on our website. For further information, please feel free to contact Sven Koesling, Head of Data Science & Research Support, Tel. 044 632 02 65, sven.koesling@library.ethz.ch (no application documents), who will be happy to assist you.

Please apply exclusively via the online application portal. Applications via e-mail or by post will not be considered.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.

For personnel agencies, the GTC of ETH Zürich apply.