Senior Engineer, Data Infrastructure
Core
Design and evolve cloud, data, and AI infrastructure for a genomics-first drug discovery platform.
Role type
Senior individual-contributor data infrastructure engineer
Builds
AWS-based cloud services, scientific data platforms, and AI/ML workloads
Domain
Biotechnology / Genomics / Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AWS platform engineering, infrastructure-as-code, CI/CD, containerized workloads, Python, Linux, observability, IAM, networking, data lifecycle management, AI/ML workload orchestration, mentoring
Preferred skills
Genomics/digital pathology/structural biology data modalities, AWS CDK/Batch/ECS/EKS/S3/RDS/Postgres/Athena/SageMaker/Bedrock, Nextflow/Dagster/Airflow, platform security/governance for biomedical data, Entra ID/SSO, early-stage biotech experience
Technologies
AWS, Python, Linux, CDK, ECS, EKS, S3, RDS, Postgres, Athena, SageMaker, Bedrock, Nextflow, Dagster, Airflow, Entra ID
Responsibilities
Lead architecture and evolution of AWS infrastructure balancing speed, reliability, security, and cost; Design reusable IaC, CI/CD, and environment-management patterns; Own cross-cutting decisions for observability, IAM, networking, resilience, and data lifecycle; Partner with engineers to deliver integrated solutions and provide technical mentoring; Translate AI/ML scientific requirements into secure platform capabilities; Diagnose and resolve complex failures across infrastructure, pipelines, and AI workloads; Establish engineering standards for testing, documentation, and security; Evaluate new technologies and shape the infrastructure roadmap.
Seniority
Senior, hands-on IC with technical leadership and mentoring
