Full-Stack Software Engineer (IT-CE-LCG-2026-54-GRAP)

Responsibilities

• Contribute to the development and evolution of CRIC, a plugin-based Django platform while also strengthening automation, testing and CI/CD practices.
• Develop and operate data ingestion pipelines that collect and validate information from heterogeneous external systems.
• Contribute to deployment and operational workflows for CRIC instances currently managed through Puppet and CERN VM infrastructure.
• Your profile
• You enjoy building reliable, well-structured software and are curious about how large-scale distributed systems operate.
• You are comfortable working in Linux environments and collaborating through Git-based workflows.
• You have strong analytical skills and are able to evaluate trade-offs and propose pragmatic technical solutions.
• You communicate clearly and enjoy working in an international, multicultural environment.
• You are self-motivated, proactive and able to take ownership of technical tasks.

Requirements

• Strong Python programming and Django development experience.
• Proficiency in relational databases and data modelling.
• Good understanding of web technologies (HTML, CSS, JavaScript).
• Proficiency in automated testing and Git-based workflows in Linux environments.
• Familiarity with service configuration and deployment practices (e.g. configuration management, containerisation).
• Spoken and written English, with a commitment to learn French.
• Eligibility criteria:
• You are a national of a CERN Member or Associate Member State .
• You have a professional background in Software Engineering (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.
• Job closing date: 16 .06.2026 at 23:59 CEST.
• Contract duration: 24 months, with a possible extension up to 36 months maximum.
• Working hours: 40 hours per week
• Job flexibility: Hybrid
• Target start date: 01-July-2026
• Job reference: IT-CE-LCG-2026-54-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!
• 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

Benefits

Additional Information

Are you a motivated computing graduate interested in global scientific infrastructure? Join CERN and contribute to the Computing Resource Information Catalogue (CRIC), a topology service describing computing and storage resources across the Worldwide LHC Computing Grid (WLCG), which connects over 150 computing centres in 40+ countries supporting particle physics research. CRIC is a key component of the WLCG ecosystem. Built as a modular Django web platform with a plugin-based architecture, it aggregates resource information from multiple sources and provides REST APIs and a web interface used in daily LHC computing operations. You will join the CERN IT Computing for Experiments group and help evolve CRIC by improving its maintainability, extensibility, and operational efficiency. This is a unique opportunity to work on distributed systems supporting one of the world's largest scientific computing infrastructures.

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