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.
What You'll Do
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Design, build, and operate backend infrastructure for data ingestion, warehousing, and distributed model inference on AWS.
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Own reliability, observability, debugging, and capacity planning across the stack.
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Build CI/CD and deployment automation to help the team ship safely and efficiently.
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Design systems that handle protected health information with encryption, access controls, and audit logging.
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Work with the machine learning team on infrastructure and model inference pipelines as priorities require.
What We're Looking For
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At least 5 years of experience in backend engineering, data infrastructure, or distributed systems.
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Production experience building and operating large-scale distributed systems on AWS or a comparable cloud platform.
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Proficiency in Python, Go, or Java, with strong hands-on backend engineering skills.
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Experience with data pipelines, ETL, warehouses or data lakes, schema evolution, and deployment automation.
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Track record leading multi-quarter technical initiatives across systems or teams, along with experience on a small, fast-moving team.
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Ability to troubleshoot complex distributed systems and weigh performance, cost, security, and maintainability tradeoffs.
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Exposure to machine learning infrastructure or model inference pipelines, HIPAA-compliant system design, and TypeScript or React is valuable.
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A STEM degree or strong computer science fundamentals.
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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