Lead Engineer (Backend)

Responsibilities

• 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
• 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

• 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

Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform
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

Requirements

• 5+ years experience building software applications
• Prior experience leading engineering teams as a tech lead or engineering manager
• Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems
• Customer obsessed and motivated to make an impact in the healthcare space
• A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code

Nice-to-Haves

• Worked with machine learning and large language models for end-user applications
• Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files

Benefits

• Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
• Unlimited vacation policy
• Paid parental leave
• Medical, dental, and vision insurance
• Pre-tax commuter benefits
• 401(k)
• Significant equity as an early employee
• Direct mentorship from experienced founders
• Ground-floor opportunity to help build a team and culture
• Regular team events and offsites
• Company-provided equipment and home office setup