Intellias

Engineering Lead (Healthcare)

Brak informacji o wynagrodzeniu

C-Level / ManagerZdalnie·KrakówFull-time·B2B·Umowa o pracę

#467586·Dodano 8 dni temu·1

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

HealthcareSoftware Engineering

Podsumowanie oferty

Lead engineering for a FHIR-based healthcare platform that connects providers, payers, clinical systems, and external healthcare networks. Drive architecture decisions and delivery of secure, scalable solutions using Python and/or Node.js / TypeScript, Kafka, and cloud platforms.

Wymagania

8+ years of software engineering experience.
2+ years as a Tech Lead / Engineering Lead.
Experience in Healthcare, HealthTech, or Digital Health.
Strong knowledge of FHIR R4.
Experience with HL7 / US Core / USCDI.
Hands-on work with HIPAA and PHI-safe engineering practices.
Strong expertise in Python and/or Node.js / TypeScript.
Experience designing distributed, high-scale systems.
APIs, data platforms, and event-driven architectures (Kafka or similar).
Experience with OAuth 2.0, OIDC, and JWT.
Strong SQL and NoSQL skills.
AWS or Azure experience.
Docker, Kubernetes, CI/CD, and automated testing.
Proven track record of leading engineers and driving technical decisions.
Practical experience with AI coding tools such as Claude Code, Copilot, Cursor, or similar.
English level B2+.

Nice to have:

FHIR Server (R4/R4B), Bulk FHIR, SMART on FHIR.
HL7 v2, C-CDA, C-CDA-to-FHIR transformations.
Knowledge of SNOMED CT, LOINC, RxNorm, ICD-10, and CPT.
Databricks, Spark, Delta Lake, or other lakehouse platforms.
Master Patient Index (MPI), patient matching, or record linkage.
EHR/EMR integrations.
Experience with HIE, pharmacy, laboratory, or payer integrations.
CARIN Blue Button and Da Vinci standards.
Knowledge of 21st Century Cures Act, ONC Certification, and CMS Interoperability Rule.
Experience building LLM-based solutions for clinical data processing or data quality.
Contributions to open-source healthcare or FHIR/HL7 communities.

Obowiązki

Lead engineering efforts across healthcare interoperability and data platform initiatives.
Define technical direction and architecture decisions.
Build and evolve secure, scalable, high-availability systems.
Mentor engineers through code reviews, design reviews, and technical coaching.
Collaborate directly with US-based stakeholders.
Drive engineering excellence, reliability, security, and observability practices.
Promote responsible use of AI-assisted development in regulated healthcare environments.

Intellias

8 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz