Lead Backend Engineer (healthcare solution) Location: Remote from Spain (an indefinite Spanish employment contract)

Intellias is looking for a Lead Backend Engineer - Healthcare Data Interoperability to join a large-scale digital healthcare initiative focused on connecting fragmented health data and enabling secure, real-time interoperability across the U.S. healthcare ecosystem.
This is a hands-on technical leadership role combining deep healthcare interoperability expertise, backend and data engineering, architecture, and team leadership. You will lead engineers responsible for building and operating real-time interoperability infrastructure connecting EHR/EMR systems, healthcare networks, providers, payers, digital health platforms, and other clinical data sources.
S. healthcare interoperability , together with the engineering depth required to design, build, and operate production systems at scale.
Project Overview:




The project is building a FHIR-based healthcare data platform that integrates clinical and consumer health information from thousands of healthcare data sources and creates a unified longitudinal health record.
The interoperability platform processes high-volume, real-time healthcare data and connects with EHR/EMR systems, HIE/HIN networks, healthcare providers, insurance organizations, pharmacies, wea
The engineering ecosystem includes FHIR R4, HL7, REST APIs, Python, Spark, Kubernetes, Kafka and other messaging technologies, SQL/NoSQL databases, and cloud infrastructure .
S. healthcare interoperability standards and regulations, including US Core, USCDI, SMART on FHIR, CMS interoperability requirements, and national healthcare exchange networks .
The platform is also evolving toward AI-enabled engineering and healthcare capabilities , including practical use of LLMs and modern AI technologies where they can improve data processing, engineering productivity, and platform intelligence.
8+ years of hands-on software engineering experience , preferabl

📌 Lead Backend Engineer (Huelva)
🏢 Intellias
📍 Huelva