Lead Full-Stack Engineer - Backend Focus

Key Responsibilities

• Design and lead development of core backend services, REST and GraphQL APIs, and service-to-service integrations that connect all layers of Centerwell's AI product stack.
• Establish patterns for authentication, authorization, rate limiting, PHI access control, and audit logging. Ensure HIPAA compliance is embedded in platform design from day one.
• Define and implement reusable patterns for integrating AI capabilities into product APIs, including LLM routing, streaming responses, tool orchestration, and model output handling.
• Build logging, monitoring, and alerting infrastructure so the platform is operable and debuggable at scale.
• Contribute to product feature development end-to-end using TypeScript and Next.js, from server-side APIs to rendered UI.
• Drive architecture reviews and define backend engineering standards that the full engineering team builds on.

Required Qualifications

• B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of software engineering experience with deep expertise in backend and platform engineering
• Strong proficiency in TypeScript and/or Python for API and service development
• Solid understanding of authentication (OAuth2, OIDC), API security patterns, and authorization model design
• Proven track record building scalable, production-grade REST or GraphQL APIs
• Working knowledge of HIPAA requirements, particularly secure transmission, storage, and access control for PHI
• Experience with Next.js and React sufficient for full-stack feature contribution
• Demonstrated ownership of complex backend systems end-to-end, from architecture through production operation
• Hands-on experience with AI-assisted development tools and LLM coding harnesses (Claude Code, Pi Agent, Cursor, Codex, or similar)

Preferred Qualifications

• Experience in healthcare, financial services, or other highly regulated industries
• Exposure to event-driven architecture, microservices, or API gateway patterns at scale
• Familiarity with AI/LLM integration patterns, including streaming APIs and tool-use orchestration
• Experience in a greenfield or team-founding engineering environment