We're looking for an Engineering Lead to join a large-scale Digital Health initiative focused on building a FHIR-based healthcare platform that connects providers, payers, clinical systems, and external healthcare networks.
This is a hands-on leadership role where you'll combine technical excellence with team leadership. You'll drive architecture decisions, mentor engineers, and ensure the delivery of secure, scalable, and HIPAA-compliant healthcare solutions.
You'll be working on a platform that aggregates and standardizes medical data from multiple clinical and administrative sources, including:
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Lab results
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Diagnoses
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Medications
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Patient visits
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Claims and insurance data
The platform transforms healthcare data into FHIR standards and exposes it through secure APIs consumed by internal products and external partners.
Our technology stack includes:
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Python and/or Node.js / TypeScript
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Kafka and event-driven architecture
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AWS / Azure
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Docker & Kubernetes
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AI-assisted engineering practices
What you'll do
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Lead engineering efforts across healthcare interoperability and data platform initiatives
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Define technical direction and architecture decisions
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Build and evolve secure, scalable, high-availability systems
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Mentor engineers through code reviews, design reviews, and technical coaching
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Collaborate directly with US-based stakeholders
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Drive engineering excellence, reliability, security, and observability practices
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Promote responsible use of AI-assisted development in regulated healthcare environments
Must have
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8+ years of software engineering experience
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2+ years as a Tech Lead / Engineering Lead
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Experience in Healthcare, HealthTech, or Digital Health
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Strong knowledge of FHIR R4
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Experience with HL7 / US Core / USCDI
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Hands-on work with HIPAA and PHI-safe engineering practices
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Strong expertise in Python and/or Node.js / TypeScript
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Experience designing distributed, high-scale systems
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APIs, data platforms, and event-driven architectures (Kafka or similar)
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Experience with OAuth 2.0, OIDC, and JWT
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Strong SQL and NoSQL skills
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AWS or Azure experience
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Docker, Kubernetes, CI/CD, and automated testing
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Proven track record of leading engineers and driving technical decisions
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Practical experience with AI coding tools such as Claude Code, Copilot, Cursor, or similar
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English level B2+
Nice to have
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FHIR Server (R4/R4B), Bulk FHIR, SMART on FHIR
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HL7 v2, C-CDA, C-CDA-to-FHIR transformations
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Knowledge of SNOMED CT, LOINC, RxNorm, ICD-10, and CPT
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Databricks, Spark, Delta Lake, or other lakehouse platforms
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Master Patient Index (MPI), patient matching, or record linkage
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EHR/EMR integrations
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Experience with HIE, pharmacy, laboratory, or payer integrations
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CARIN Blue Button and Da Vinci standards
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Knowledge of 21st Century Cures Act, ONC Certification, and CMS Interoperability Rule
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Experience building LLM-based solutions for clinical data processing or data quality
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Contributions to open-source healthcare or FHIR/HL7 communities
Why join us?
You'll lead engineering for a platform that directly impacts how healthcare data is integrated, standardized, and delivered to patients, providers, and healthcare organizations.
This role offers a unique combination of:
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Technical leadership
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Modern cloud-native architecture
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Healthcare interoperability standards
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AI-native engineering
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Real business impact in a highly regulated domain
If you're passionate about engineering excellence and ready to solve complex healthcare challenges at scale, we'd love to hear from you.
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