Senior Engineer, Data Infrastructure
Flagship Pioneering, Inc.5 hours ago
Responsibilities
- Lead the architecture and evolution of AWS infrastructure supporting cloud services, scientific data platforms, and AI/ML workloads.
- Design and implement reusable infrastructure-as-code, deployment, testing, and environment-management patterns.
- Own engineering decisions covering observability, identity and access management, networking, resilience, capacity, data movement, and lifecycle management.
- Partner with Cloud Engineers and Data Engineers to deliver integrated solutions and provide technical mentoring through design reviews, code reviews, incident response, and operational improvement.
- Translate scientific and AI/ML requirements for model development, training, evaluation, inference, and data into secure and reproducible platform capabilities.
- Diagnose complex failures across infrastructure, data pipelines, applications, and AI workloads; lead incident reviews and corrective actions.
- Establish engineering standards for testing, documentation, release management, operational readiness, security, and cost visibility.
- Evaluate technologies and shape the infrastructure roadmap, including build-versus-buy and sequencing decisions.
Requirements
- Seven or more years of relevant experience designing, building, and operating production cloud or data infrastructure, or equivalent demonstrated capability.
- Advanced hands-on AWS experience and ownership of multiple interdependent production systems.
- Strong experience with infrastructure-as-code, CI/CD, containerized 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 and understanding large scientific datasets, reproducibility, provenance, and scientific user needs.
- Experience enabling AI/ML workloads in cloud environments, including data preparation, model training, evaluation, inference, orchestration, or production deployment.
- Track record of leading complex technical initiatives under ambiguity and accountability for reliable operational outcomes.
- Ability to mentor engineers and communicate architecture, risk, and delivery decisions to technical and scientific stakeholders.
- Experience with genomics, digital pathology, structural biology, or other high-volume scientific data modalities is desirable.
- Experience with AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, Nextflow, Dagster, Airflow, Entra ID, SSO, or role-based access patterns is desirable.
- Experience with platform security, privacy, governance controls for sensitive biomedical or clinical data, or an early-stage biotech or research-intensive startup is desirable.
Benefits
- Hybrid role based at Chesterford Research Campus near Cambridge, normally requiring at least three days per week on campus.
- Participation in operational support and incident escalation is required.
- Applicants must have permission to work in the UK.
- The role offers substantial technical autonomy, cross-functional collaboration, and mentoring responsibilities without formal line management.
Tech Stack
Categories
Data EngineeringDevOps
About Flagship Pioneering, Inc.
Flagship Pioneering is a biotechnology company that invents and builds platform companies, each with the potential for multiple transformative human health and sustainability products. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures. The current Flagship ecosystem comprises over 40 companies, including Denali Therapeutics, Foghorn Therapeutics, Generate:Biomedicines, Inari, Indigo Agriculture, and Tessera Therapeutics.