Senior Software Engineer

Description

About the Role

Join a small engineering team building backend infrastructure for a healthcare technology platform supporting radiology workflows and AI-assisted diagnosis. You will own foundational systems across data ingestion, storage, and distributed model inference.

Responsibilities

• Design, build, and operate backend infrastructure for 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 to help the team ship safely and efficiently.
• Design systems that handle protected health information with encryption, access controls, and audit logging.
• Work with the machine learning team on infrastructure and model inference pipelines as priorities require.

Requirements

• At least 5 years of experience in backend engineering, data infrastructure, or distributed systems.
• Production experience building and operating large-scale distributed systems on AWS or a comparable cloud platform.
• Proficiency in Python, Go, or Java, with strong hands-on backend engineering skills.
• Experience with data pipelines, ETL, warehouses or data lakes, schema evolution, and deployment automation.
• Track record leading multi-quarter technical initiatives across systems or teams, along with experience on a small, fast-moving team.
• Ability to troubleshoot complex distributed systems and weigh performance, cost, security, and maintainability tradeoffs.
• Exposure to machine learning infrastructure or model inference pipelines, HIPAA-compliant system design, and TypeScript or React is valuable.
• A STEM degree or strong computer science fundamentals.

Conditions

Base salary: $215,000 to $275,000 annually. Visa sponsorship is available.

On-site in San Francisco, California, United States.