AWS
ABOUT THE ROLE
Join a small engineering team at an early-stage healthtech company building a radiology-as-a-service platform. You will own and evolve the backend infrastructure for data ingestion, warehousing, and distributed AI model inference.
WHAT YOU'LL DO
- Design, build, and operate backend infrastructure across data ingestion, warehousing, and distributed model inference on AWS.
- Own reliability, observability, debugging, and capacity planning across the stack.
- Build CI/CD and deployment automation that helps a lean team ship safely and efficiently.
- Design systems that handle protected health information with encryption, access controls, and audit logging.
- Collaborate with the ML team on ML infrastructure and model inference pipelines as priorities require.
WHAT WE'RE LOOKING FOR
- At least 5 years of experience in data infrastructure, backend engineering, or distributed systems.
- Production experience designing and operating large-scale distributed systems on AWS or a comparable cloud.
- Proficiency in a backend language such as Go, Python, or Java.
- Depth in data infrastructure, including large-scale pipelines, ETL, data warehouses or lakes, and schema evolution.
- Experience with CI/CD, deployment automation, and troubleshooting complex distributed systems, including performance, cost, security, and maintainability tradeoffs.
- Experience leading multi-quarter technical initiatives across systems or teams, as well as working on a small, fast-moving team.
- Exposure to ML infrastructure or model inference pipelines and HIPAA-co