Backend Python Engineer (OSI-SIS-TS-2026-128-GRAP)

You will join the Tools and Services section within the Scientific Information Service, the team responsible for the platforms that power scientific discovery and open access across the High Energy Physics community. Our systems include INSPIRE, the global literature hub for particle physics; SCOAP3, which funds and tracks open access publishing; CERN Analysis Preservation, which safeguards the analyses behind physics results; and a tool facilitating access to CERN's institutional memory.

As a Backend Python Engineer you will design, build and operate the services that ingest, curate, search and expose millions of scientific records to a worldwide audience. You will work on high throughput data pipelines, REST APIs, search infrastructure and the integration of AI driven retrieval into production systems. Your code will be open source and used daily by researchers across hundreds of institutes.

As part of the Tools and Services team, you will drive the modernisation and evolution of the Scientific Information Service content platform. You will advance the backend services behind INSPIRE, SCOAP3 and CERN Analysis Preservation, expand Model Context Protocol services that open the team's scientific content to AI clients, and evaluate the harmonisation of the INSPIRE backend with the newer backoffice stack. This is a defined project to strengthen the platform's discovery, interoperability and AI driven access.

Your responsibilities

The core responsibility of this position is to drive the modernisation of the INSPIRE backend, expand the team's Model Context Protocol services, and align the digitisation and archival services with the team's technology stack, delivering a large scale migration to the Access to Memory (AtoM) service.

INSPIRE backend and harmonisation:

• Review the remaining custom harvests, approximately 1000, and migrate those that should be retained to Apache Airflow, retiring or redesigning the rest.
• Work with curators throughout to decide what to keep, and automate the pipeline where evaluation shows it adds value, keeping a human in the loop for decisions that require expert judgement.
• Evolve the Apache Airflow ingestion and curation pipelines that process scientific metadata and full text at scale, improving data quality, deduplication, enrichment and source coverage.

AI access and interoperability:

• Expand the team's Model Context Protocol services across INSPIRE, the library and other team services, moving them from pilot to a consistent, documented and maintainable interface that opens curated scientific content to external AI clients.
• Develop and optimise the search and discovery functionality on OpenSearch that underpins these features, including relevance tuning and indexing strategies.

Digitisation and archival services:

• Align the digitisation and archival services with the team's technology stack, modernising them onto common frameworks and deployment tooling.
• Deliver and oversee the migration of 35 000 new archival items to the Access to Memory (AtoM) service across 2027, maintaining consistent metadata and data quality throughout.
• Develop and automate the connection between the connected services, enabling content to flow reliably across the digitisation and archival systems.
• Prepare the ingestion pipelines for new file ingestion, harmonising them with the team's other applications.

Engineering foundations:

• Design, document and deliver REST APIs consumed by internal applications, partner institutes and third party tools.
• Apply automated testing, code review, monitoring and CI and CD, and support production through containerised deployments and performance tuning.
• Contribute the team's outputs back to the open source community to advance Open Science.

Your profile

• Demonstrated experience building and operating backend services in Python in a production environment. Solid track record with web frameworks such as Django, Flask or FastAPI and with relational and document databases.
• Hands on experience designing REST APIs.
• Practical experience with search engines such as OpenSearch, including indexing and relevance tuning.
• Familiarity with containerised deployments, version control with Git and CI and CD workflows.
• Experience contributing to open source projects and working in a collaborative engineering team is highly valued.

Skills

• Strong proficiency in Python and modern backend development practices, including frameworks such as Django, Flask and FastAPI.
• Solid understanding of REST API design, asynchronous programming and software testing.
• Experience with SQL data stores such as PostgreSQL and with search technologies such as OpenSearch.
• Working knowledge of Docker, Kubernetes and CI and CD pipelines.
• Understanding metadata standards and large scale data processing.
• Ability to write clean, well documented and maintainable code.
• Strong problem solving skills and attention to detail.
• Ability to work in a multicultural team and a collaborative, ownership driven mindset.
• 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 Computer Science (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: 06.08.2026 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-November-2026
Job reference: OSI-SIS-TS-2026-128-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 comprehensiv