Cloud Engineer - Cambridge - Flagship Pioneering

Description

Quotient Therapeutics is a privately-held, early stage company developing breakthrough medicines informed by natural somatic genetic diversity present in patients. Through our work in somatic genomics, we are forging a new status quo for biopharma research and development across a broad pipeline of internal and partnered programs.

The company was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA), Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS).

Position Summary

We are seeking a Cloud & Infrastructure Engineer to use their AWS/DevOps/SecOps skills to strengthen and evolve our Unified Digital Platform as we scale our genomics-first drug discovery operations. The candidate will join a collaborative Data Infrastructure team and work closely with biologists, chemists, informaticians, and data scientists to ensure our compute, data, and application environments are secure, reliable, and designed for growth. They bring enthusiasm, curiosity, strong engineering discipline, and a desire to build systems that support cutting‑edge biological discovery. This role is based at the Chesterford Research Campus (vicinity of Cambridge) reporting to the Head of Data Engineering. Applicants require permission to work in the UK.

Key Responsibilities

• Collaborate with engineers and scientific stakeholders to evolve the cloud infrastructure that supports genomics, imaging, data pipelines, and AI/ML applications across the company.
• Manage and extend our AWS environment using infrastructure-as-code (primarily CDK), enhancing reliability, security, and efficiency across accounts and services.
• Support secure, scalable, and cost-effective use of AWS services including EKS, ECS, EC2, Batch, Lambda, S3, RDS, networking, and IAM.
• Improve observability and operational awareness through logging, alerting, metrics, and dashboards that help maintain system health and control costs.
• Contribute to CI/CD workflows and automation frameworks that underpin data engineering, web applications, and ML/AI systems.
• Strengthen our security posture by improving IAM practices, monitoring, auditing, and compliance alignment, in partnership with colleagues across the company.
• Partner with scientists, software engineers, and ML teams to ensure infrastructure supports modern lab-in-the-loop workflows, high-throughput data ingestion, and scalable analysis environments.
• Communicate technical decisions clearly and pragmatically to peers across scientific and engineering disciplines.

Requirements

• Graduate or post‑graduate degree in computer science or a related engineering discipline, or equivalent practical experience.
• Three years or more of hands‑on experience with cloud engineering, including AWS services such as EC2, S3, IAM, networking, and container orchestration (EKS or ECS).
• A clear understanding of AWS multi‑account architectures and their implementation and management.
• Practical experience with infrastructure-as-code (CDK, CloudFormation, or Terraform).
• Familiarity with observability tooling (CloudWatch, Grafana, or comparable stacks) and cost‑awareness in cloud environments.
• Experience with CI/CD pipelines, containerization, and DevOps automation.
• Experience integrating SSO identity platforms such as Okta/Entra.
• A security‑minded approach, including understanding of least‑privilege IAM, secure networking, and compliance‑related workflows.
• Strong collaboration skills and a pragmatic mindset suited to a fast‑moving, interdisciplinary biotech environment.
• Awareness of scientific workflows (bioinformatic, cheminformatic, microscopy/histology), including handling large data assets, storage layouts, and performance considerations for downstream analysis.
• Familiarity with common genomic data types such as BAMs, VCFs, etc.
• Experience navigating data governance and patient‑confidentiality requirements in biomedical research, including secure access patterns and auditability.

About Flagship Pioneering

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity most urgent challenges: vaccinating billions of people against COVID‑19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.

Flagship has been recognized twice on FORTUNE Change the World list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company annual list of the World Most Innovative Companies. Learn more about Flagship

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Recruitment & Staffing Agencies

Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.