Software Developer for a Data Processing Platform (BE-CSS-DSP-2026-23-GRAP)
Join our team of experienced software engineers and work on our new cutting edge big data processing and analysis platform. This platform will extend UCAP, our real-time stream processing platform, and combine it with NXCALS, our petabyte-scale offline data storage and analysis system.
Your responsibilities
Design, implement and evolve the Data Processing Platform (DPP), transforming the existing proof-of-concept into a full-scale, production-ready solution that meets stakeholder requirements and supports both offline and online data analysis and processing.
Research, design and implement adaptation of the UCAP system to the DPP platform, including the migration of UCAP converters into DPP function-based services. You will also address the architectural, integration, and migration challenges to ensure full compatibility with the new platform.
Collaborate closely with accelerator operation and equipment specialists to design tailored, user-friendly libraries, APIs and configuration facilities, enabling them to efficiently develop and deploy both traditional and machine learning algorithms written in Python or Java.
More information here.
Your profile
- Background in backend software development or a closely related role.
- Good understanding of distributed systems and microservice architecture.
- Exposure to serverless concepts and frameworks, particularly Knative or
OpenFaaS would be an asset - Knowledge of data processing and streaming frameworks (e.g. Apache Kafka,
Apache Spark) would be an asset.
Skills
- Proficiency in Core Java and its ecosystem.
- Hands-on exposure to the Spring Framework, including Spring Boot.
- Working knowledge of Python and its ecosystem.
- Familiarity with containerization and orchestration tools (e.g. Docker/Podman,
Kubernetes), - Knowledge of gRPC & REST API design and development.
- Familiarity with CI/CD pipelines and tools would be an asset
- Spoken and written English, with a commitment to learn French.
Eligibility criteria:
- You have a professional background in Software Engineer (or a related field) and have either:
- a Master's degree with 2 to 6 years of post-graduation professional experience;
- or a PhD with no more than 3 years of post-graduation professional experience.
- You have never had a CERN fellow or graduate contract before.
Additional Information
Job closing date: 15.03.2026 at 23:59 CET.
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Fully Onsite
Target start date: 01-May-2026
Job reference: BE-CSS-DSP-2026-23-GRAP
Field of work: Software Engineering and IT
Benchmark job: 200020 - Computing Engineer
Global Benefits
- A monthly stipend between 6372-7004 Swiss Francs per month (tax free) depending on your degree.
- 30 days of paid leave per year plus 2 weeks annual closure.
- Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
- Family, child and infant monthly allowances depending on your individual circumstances.
- A relocation package (installation grant and travel expenses) depending on your individual circumstances.
- Possibility to extend your contract up to 36 months.
- On-the-job and formal training including language classes.
Overview of CERN - Discover a world where the impossible is made possible!
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Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.
If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!
More information about us, here: careers.cern