Hybrid AWS Data Infrastructure Engineer – AI/Genomics

Flagship Pioneering, Inc.; Cambridge; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Quotient Therapeutics is seeking a Senior Engineer for the Data Infrastructure team to design and evolve our AWS-based cloud and data platforms powering our genomics-first drug discovery platform. You will lead initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads with cross-disciplinary collaboration.

This is a senior IC role with technical autonomy; you will establish reusable patterns, drive tooling and incident response, and mentor Cloud and Data

Qualifications

• Designing, building and operating production cloud/infrastructure.
• Ownership of multiple interdependent production systems, troubleshoot across boundaries.
• Experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, IAM, and observability.
• Strong software engineering in Python and Linux, with automated testing and tooling.
• Experience with data-intensive life-science systems and large datasets.

Responsibilities

• Lead the architecture and evolution of AWS-based infrastructure across cloud services and AI/ML workloads.
• Design and implement reusable infrastructure-as-code, CI/CD, and environment-management patterns.

Skills

Technical leadership

Mentoring engineers

Cross-functional collaboration

Architectural decision making

Incident response

Tools

AWS

Python

Linux

CI/CD

Infrastructure-as-code

Containerization

Observability

Job description

Quotient Therapeutics is seeking a Senior Engineer for the Data Infrastructure team to design and evolve our AWS-based cloud and data platforms powering our genomics-first drug discovery platform. You will lead initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads with cross-disciplinary collaboration.

This is a senior IC role with technical autonomy; you will establish reusable patterns, drive tooling and incident response, and mentor Cloud and Data