Python & AWS Software Engineer for Genomic Data

Genomics England

City Of London

On-site

GBP 66,000 - 81,000

Full time

10 days ago

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Benefits offered by this job

Generous Leave
Pension
Health & Wellbeing
Learning & Development

Job summary

Genomics England is seeking an experienced Software Engineer with strong Python and AWS skills to join the Scientific R&D team. You will work on data processing systems across cloud and on-prem environments, enabling high-quality genomic datasets and preparing data for release into the National Genomic Research Library.

The role collaborates across projects like Cancer 2.0 and Generation Study, driving innovative genomic research.

Qualifications

  • Strong Python skills and experience building scalable backend services.
  • Hands-on experience with AWS, microservice architectures, and containerised environments.
  • Experience working on data-heavy or distributed systems.
  • Familiarity with agile delivery and test-driven development.

Responsibilities

  • Think through, design and enable future facing research cohorts end to end.
  • Write clean, scalable Python code, following engineering best practices.
  • Develop working solutions to enable processing of long read data, including AWS.
  • Design and maintain services on AWS, focusing on resilience and performance.
  • Work on distributed systems that handle big data processing at scale.
  • Build and evolve our test automation frameworks.
  • Troubleshoot issues, collaborating with colleagues.
  • Stay up to date with latest tools, libraries and tech approaches.

Skills

Python
AWS
Backend services
Distributed systems
Agile

Education

BSc in Computer Science

Tools

GitLab
Jira
Confluence

Job description

Genomics England is seeking an experienced Software Engineer with strong Python and AWS skills to join the Scientific R&D team. You will work on data processing systems across cloud and on-prem environments, enabling high-quality genomic datasets and preparing data for release into the National Genomic Research Library.

The role collaborates across projects like Cancer 2.0 and Generation Study, driving innovative genomic research.

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