Engineering Lead with Healthcare Experience

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Intellias is looking for an Engineering Lead to join a large-scale Digital Health initiative building a FHIR-based healthcare platform that connects providers, payers, clinical systems, and external healthcare networks.

This is a hands-on leadership role that combines strong engineering expertise with team leadership. You will set technical direction, grow engineers, and ensure delivery of secure, reliable, and HIPAA-compliant healthcare solutions.

We’re helping a US digital-health platform make patients’ medical data accessible, consistent, and trustworthy. The platform brings together data from many clinical and administrative sources: lab results, diagnoses, medications, visits, claims and more. It standardizes this data into FHIR and exposes it through secure, standards-based APIs used by internal products and external partners.

You’ll lead the engineering team that builds it. This is a player-coach role to start. While your
number of direct reports is smaller and growing, you’ll write production code across the stack,
sharing ownership of the API and public surfaces with our full-stack engineer, and you’ll stay
close to the data integration work. You’ll own the platform’s technical direction, delivery, and
team, and you’ll represent engineering to partners, product, and clinical advisors.

• Lead onshore/nearshore and offshore teams: hire and level accurately, run 1:1s and
  performance conversations, and develop leads into stronger managers.
• Grow the organization, with clear boundaries and a bench of future leaders.
• Write production code across the API, embeddable widgets, preview app, SDKs, and
  MCP server, with ownership that shifts with priorities. Step off the critical path as the
  team grows while staying close enough to the code to judge quality firsthand.
• Set the technical direction for an API-first platform, where every surface is a client of one
  OpenAPI-defined API. Own partner authentication, tenant scoping, per-partner
  configuration and branding, rate limiting, idempotency, and audit logging.
• Design configurable, rules-based questionnaire matching that clinical staff can change
  without code, and that clinical advisors review.
• Guide the integration of provider schedule inventory from health systems and telehealth
  networks through batch and real-time API feeds, with a booking path that confirms
  availability or fails gracefully.
• Own the roadmap, commitments, SLOs, and incident follow-through.
• Build HIPAA and minimum-necessary PHI boundaries into every surface, including what
  reaches an LLM through the MCP server, working with our security and compliance
  team.
• Set how the team employs AI to build, with the review and testing practices that keep the
  work correct and safe.