Senior Software Engineer, Health Data & Interoperability

Italic is building a health identity and consent layer for healthcare. The Senior Software Engineer will build clinical-record retrieval, normalization, and APIs, and design patient-authorized access for AI agents while owning security and supporting the security program.

Responsibilities:

• Build how we retrieve clinical records from health information exchange networks
• Own the FHIR R4 data model: normalization, deduplication across sources and provenance
• Turn clinical records into structured data that AI models and agents can use, with every fact cited to its source
• Build the APIs that partner developers use to read that data
• Build the authorization that lets AI agents access records on a patient’s behalf, and own its attack surface
• Own the security of what you build: threat models, access control, encryption and key management, audit trails and consent
• Help run our security program, including security reviews, SOC 2 controls and incident response

Requirements:

• Extensive production experience with our core stack: TypeScript, Next.js, React and PostgreSQL
• Several years in health tech, ideally at a digital health company or a health data platform
• Shipped software that handles PHI under HIPAA
• A security background: threat modeling, secure design review, and hands-on application security covering authentication, authorization, secrets and key management, and the OWASP Top 10
• Hands-on FHIR R4 work with real clinical data, including the duplicates and messy coding
• Owned a data model that other teams or companies relied on
• Hono in production
• Working knowledge of LOINC, RxNorm, SNOMED CT and ICD-10-CM
• SMART on FHIR, OAuth and OpenID Connect, including their attack surface
• SOC 2 or HITRUST audits, penetration testing or incident response
• Vercel or Google Cloud in production
• HIE, TEFCA, Carequality or CommonWell experience
• C-CDA to FHIR conversion
• MCP servers, tool calling, or retrieval over clinical data
• OAuth 2.1 delegation for AI agents