Senior Engineer, Data Infrastructure

The role

You will design and evolve cloud, data, and AI infrastructure for a genomics-first drug discovery platform. You will lead complex initiatives in AWS platform engineering, scientific data systems, and AI/ML workloads.

What you will do

• Lead the architecture and evolution of AWS-based infrastructure
• Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns
• Own cross-cutting engineering decisions for observability, identity, networking, and data management
• Partner with Cloud and Data Engineers to deliver integrated solutions and provide mentoring
• Translate scientific requirements into secure, reproducible platform capabilities
• Diagnose and resolve complex failures across infrastructure, data pipelines, and AI workloads
• Establish engineering standards for testing, documentation, and security
• Evaluate new technologies and shape the infrastructure roadmap

Required qualifications

• Seven or more years of relevant work or equivalent demonstrated capability designing, building and operating production cloud or data infrastructure
• Advanced hands-on experience with AWS and ownership of multiple interdependent production systems
• 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
• Experience supporting data-intensive life-science systems or workflows
• Experience enabling AI/ML workloads in cloud environments
• Track record of leading complex technical initiatives under ambiguity
• Ability to mentor engineers and communicate architecture and risk to stakeholders

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
• Working in an early-stage biotech, research-intensive startup or another fast-changing environment with a small engineering team

Before you apply

• Must have permission to work in the UK

About the company

Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies.