Lead Engineer (Backend)
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About the role
We're seeking an experienced and highly capable engineering leader who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform through hands-on development and technical leadership. As an early team member, you'll work closely with our founding team while helping to build and lead a growing engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week. What you'll be doing at Onos: Architect workflows that utilize AI/ML to process claims, medical records and other data types to evaluate the optimal care path for health plan members Lead the integration and rollout of the Onos platform for new enterprise customers to provide actionable insights and recommendations to health plan administrators Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes Establish engineering best practices and technical foundations for future team growth Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy Technical Challenges At Onos: Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements Tech Stack: At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale. Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform Languages/Frameworks Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk