Software Engineer (HPC Sustainability)
Cambridgeshire and Peterborough
EMBL-EBI's HPC infrastructure underpins world-leading bioinformatics research, operating large-scale compute clusters on behalf of scientific users…
EMBL-EBI's HPC infrastructure underpins world-leading bioinformatics research, operating large-scale compute clusters on behalf of scientific users across the institute. The HPC sub team sits within IT and Technical Services (ITS) and is responsible for the reliability, operation, and ongoing development of these clusters and their supporting tooling.
Your role Your role is embedded within that HPC sub team, reporting to the HPC Lead. You will combine hands-on backend development with a meaningful sustainability mission: improving how EBI measures, reports, and reduces the environmental impact of its scientific computing. A significant part of your work involves a close collaboration with the Green Algorithms team at the University of Cambridge - an internationally recognised open source project for quantifying the carbon footprint of research computing and to align EBI's tooling with the global GA ecosystem and contribute to the E-SCOUT international trial. Beyond this collaboration, you will contribute to the broader HPC sustainability agenda at EBI, including improving energy and carbon reporting, supporting user facing tooling, and helping establish best practices for sustainable HPC operations. This is a technically demanding role for someone who is equally comfortable working independently in a production codebase and collaborating across organisational boundaries.
You have Strong experience writing production-grade Python, with a focus on data pipelines, concurrent processing, and clean, maintainable code. This is a backend data engineering role, not web API development. Solid experience with PostgreSQL and time-series data management. Familiarity with TimescaleDB including continuous aggregates is an advantage, as is comfort with both psycopg2 and psycopg3. Working knowledge of Apache Kafka as a message broker: consumer groups, offset management, and event-driven pipeline design. Kafka is a core component of EBI's real time job monitoring system. Confidence working with pandas DataFrames for data transformation, aggregation, and analysis used extensively in the Green Algorithms codebase. Proficient with Git, pytest, ruff, and Poetry. Able to contribute effectively to a collaborative open-source environment with CI/CD pipelines. Proficiency in agentic coding and AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate development within a well-structured codebase. Strong written and verbal communication skills. Able to work across two independent teams (EBI and Cambridge), translate technical trade-offs into clear proposals, and build consensus with stakeholders from different organisational backgrounds. You may also have Prior experience contributing to open-source projects, including code review, documentation, and working within established.
Contract length: 6 month temporary contract
Salary: Grade 5 - salary from £3,452.02 after tax.
Closing Date 30/09/2026
Do something meaningful At EMBL-EBI you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage, analysis and dissemination of large biological datasets. We provide the global research community with access to publicly available databases and tools which are crucial for the advancement of healthcare, food security, and biodiversity.
Join a culture of innovation We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside. This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential.
We recruit internationally and successful candidates are offered visa exemptions.
At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.
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Cambridgeshire and Peterborough
EMBL-EBI's HPC infrastructure underpins world-leading bioinformatics research, operating large-scale compute clusters on behalf of scientific users…
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