About the Role
Join a small engineering team building the backend infrastructure for a healthcare imaging platform. You will own systems for data ingestion, warehousing, and distributed model inference that support AI-assisted radiology.
What You'll Do
Design, build, and operate backend infrastructure across data ingestion, warehousing, and distributed inference on AWS.
Own reliability, observability, debugging, and capacity planning across the stack.
Build CI/CD and deployment automation that helps the team ship safely and efficiently.
Design systems that handle protected health information with encryption, access controls, and audit logging.
Work with the ML team on infrastructure and model inference pipelines as priorities require.
What We're Looking For
At least 6 years of experience in backend engineering, data infrastructure, or distributed systems.
Strong production experience with Python, Go, or Java, and hands-on experience designing and operating distributed systems on AWS or a comparable cloud.
Experience building large-scale data pipelines, ETL, data warehouses or data lakes, and handling schema evolution.
Experience with CI/CD, deployment automation, and troubleshooting complex systems while balancing performance, cost, security, and maintainability.
Experience leading multi-quarter technical initiatives across systems or teams, and working in a startup or small, fast-moving engineering team.
Exposure to ML infrastructure or model inference pipelines and HIPAA-compliant system design is valuable.
Familiarity with TypeScript, React, and Docker is useful. A STEM degree or strong computer science fundamentals is expected.
Compensation & Benefits
Base salary: $215,000 to $275,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.