Quick overview
Job description
About the Role
Join a small engineering team building backend infrastructure for an AI-powered radiology platform. You will own core systems across data pipelines, warehousing, and distributed model inference, helping support reliable healthcare workflows.
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 technology stack.
Develop CI/CD and deployment automation that enables the team to ship safely and efficiently.
Design systems that handle protected health information with encryption, access controls, and audit logging.
Partner with the ML team on infrastructure and model inference pipelines as priorities evolve.
What We're Looking For
At least 6 years of experience in backend engineering, data infrastructure, or distributed systems.
Production experience designing, building, and operating large-scale distributed systems on AWS or a comparable cloud.
Proficiency in Go, Python, or Java, with experience in data pipelines, ETL, warehouses or data lakes, and schema evolution.
Experience leading complex, multi-quarter technical initiatives across systems or teams, and working on a small, fast-moving team.
Strong troubleshooting skills and the ability to balance performance, cost, security, and maintainability.
Experience with CI/CD and deployment automation; exposure to ML infrastructure, model inference, HIPAA-compliant system design, TypeScript, or React is useful.
A degree in computer science or another STEM field, or equivalent technical foundation.
Compensation & Benefits
Base salary: $215,000 to $275,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, California, United States.
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