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Flagship Pioneering, Inc.

Senior Engineer, Data Infrastructure

Flagship Pioneering, Inc. · Cambridge, UK

Posted 28 days ago

or apply directly on Flagship Pioneering, Inc.'s site. We never take the application ourselves.

Is this posting real?

This role has been open
28 days
Flagship Pioneering, Inc.'s roles stay open a median of 45 days
Reposted
No
Salary listed
No
89% of Flagship Pioneering, Inc.'s roles list one
Ghost-job risk at Flagship Pioneering, Inc.
high
50 stale, 1 reposted of 100 open
Hiring momentum
144 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Flagship Pioneering, Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Flagship Pioneering, Inc..

About this role

The Senior Engineer in Data Infrastructure at Quotient will design and enhance the cloud and AI infrastructure for their genomics-first drug discovery platform. This role involves leading complex projects on AWS, collaborating with various scientific and engineering teams, and providing technical mentorship. The engineer will also be responsible for making architectural decisions, implementing infrastructure-as-code, and ensuring the reliability and scalability of systems.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Flagship Pioneering, Inc. as an employer.

What you need

  • Substantial experience designing, building and operating production cloud or data infrastructure, typically gained through seven or more years of relevant work or equivalent demonstrated capability.
  • Advanced hands-on experience with AWS and ownership of multiple interdependent production systems, including the ability to troubleshoot failures across service boundaries.
  • Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, identity and access management, and production observability.
  • Strong software engineering skills in Python and Linux, including automated testing, version control, code review and maintainable automation or platform tooling.
  • Experience supporting data-intensive life-science systems or workflows, with enough domain understanding to reason about large scientific datasets, reproducibility, provenance and scientific user needs.
  • Experience enabling AI/ML workloads in cloud environments, such as data preparation, model training, evaluation, inference, orchestration or production deployment.

Nice to have

  • Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats.
  • AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services.
  • Scientific workflow and data orchestration frameworks such as Nextflow, Dagster, Airflow or similar.
  • Platform security, privacy or governance controls for sensitive biomedical or clinical data.
  • Identity platforms and federation technologies such as Entra ID, SSO or role-based access patterns.

Worth weighing

  • The role requires working on-site at least three days a week, which may not suit all candidates.
  • The position involves substantial technical autonomy but does not include formal line management responsibilities, which may affect leadership aspirations for some.
  • The job description emphasizes a collaborative environment, which may require strong interpersonal skills and adaptability to team dynamics.

Summarised from Flagship Pioneering, Inc.'s posting. Read the full original.

Listed by Flagship Pioneering, Inc. on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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