Senior Data Infrastructure Engineer - AWS & AI

Engg; Cambridge; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Quotient Therapeutics designs and builds cloud-scale data and AI infrastructure for genomics-first drug discovery. The Senior Engineer leads AWS-based platform work across data platforms and AI workloads, mentoring Cloud and Data Engineers while balancing security, reliability and cost.

This hybrid role is based at the Chesterford Research Campus, near Cambridge, with regular campus presence and UK work permission required.

Qualifications

• Substantial experience designing, building and operating production cloud or data infrastructure (7+ years).
• Advanced hands-on AWS experience with multiple interdependent production systems.
• Strong experience with infrastructure-as-code, CI/CD, containerised workloads, cloud networking, IAM, and observability.
• Strong Python and Linux software engineering skills with testing, VCS and automation tooling.
• Experience with data-intensive life-science or genomics workflows and reproducibility considerations.
• Experience enabling AI/ML workloads in cloud environments (training, inference, deployment).
• Proven track record leading complex technical initiatives with accountability for reliability.

Responsibilities

• Lead architecture and evolution of the AWS-based infrastructure for data platforms and AI workloads.
• Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns.
• Own cross-cutting decisions for observability, IAM, networking, resilience, data movement and lifecycle management.
• Mentor Cloud and Data Engineers through design reviews, code reviews and incident response.
• Collaborate with scientists and bioinformaticians to translate model and data requirements into platform capabilities.
• Drive incident reviews and actions to improve the wider system; establish engineering standards.

Skills

Cloud engineering

Python

Linux

Observability

Mentoring

Architecture leadership

Incident response

Tools

AWS

AWS CDK

Batch

ECS

EKS

S3

RDS

Postgres

Athena

SageMaker

Bedrock

Nextflow

Dagster

Airflow

Entra ID / SSO

Job description

Quotient Therapeutics designs and builds cloud-scale data and AI infrastructure for genomics-first drug discovery. The Senior Engineer leads AWS-based platform work across data platforms and AI workloads, mentoring Cloud and Data Engineers while balancing security, reliability and cost.

This hybrid role is based at the Chesterford Research Campus, near Cambridge, with regular campus presence and UK work permission required.