Director, Scientific Cloud Engineering

The role

The Director, Scientific Cloud Engineering is a senior technical leader who manages a team of engineers. This person will engineer the cloud and computational infrastructure that supports scientific discovery across the Flagship portfolio.

What you will do

• Lead, mentor, and grow a team including external contractors and consultants
• Serve as a player-coach providing direct technical contributions
• Partner with the Senior Director to define team roadmap, resource allocation, and hiring strategy
• Establish engineering best practices, code review standards, and documentation norms
• Own and evolve the cloud architecture strategy for Scientific Cloud
• Architect and deliver reusable infrastructure-as-code solutions
• Partner with IO&A to define and enforce cloud governance guardrails
• Design and maintain HPC and compute environments optimized for scientific workloads
• Evaluate and adopt emerging cloud capabilities
• Architect robust, reproducible pipeline infrastructure for genomics, proteomics, and other -omics data types

Required qualifications

• 10+ years of experience in cloud engineering, infrastructure engineering, or DevOps
• At least 3 years in a technical leadership or engineering management role
• Deep expertise in AWS and/or Azure, including compute, storage, networking, IAM, and managed services for data and ML
• Demonstrated experience designing and operating infrastructure for scientific or biotech workloads
• Strong proficiency in infrastructure-as-code (Terraform, CDK, CloudFormation)
• CI/CD automation (GitHub Actions, Jenkins, or similar)
• Experience with containerization and orchestration technologies (Docker, Kubernetes, ECS/EKS)
• Familiarity with bioinformatics workflow frameworks (Nextflow, Snakemake, WDL)
• Background in biotech, life sciences, or pharmaceutical research through education or direct industry experience
• Track record of building and shipping reusable infrastructure products and reference architectures
• Strong communicator who can translate between scientific requirements and engineering specifications

Nice to have

• Experience operating in a multi-tenant or portfolio model
• Familiarity with AI/ML infrastructure
• Experience with data lakehouse architectures (Delta Lake, Iceberg, or equivalent)
• Exposure to GxP, HIPAA, or SOC 2 compliance requirements in a cloud context
• Prior experience at a biotech incubator, multi-portfolio organization, or venture-backed life sciences company

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

About the company

Flagship Pioneering is a life sciences innovation enterprise that invents and builds transformative companies. Since its founding in 2000, Flagship has originated more than 100 ventures.