Engeneering Lead with Healthcare experience

Intellias; España; On-site; EUR 110,000 - 160,000; Full time

Job summary

Intellias is seeking a senior engineering leader to drive the architecture of a US-based digital-health platform. You will lead backend, data, and platform efforts, ensuring PHI-safe design and interoperability via FHIR. The role emphasizes Python/TypeScript, distributed systems, and strong security practices.

You will guide architectural decisions across components, mentor engineers, and advance AI-assisted development while maintaining compliance with HIPAA and industry standards.

Qualifications

• 8+ years of professional software engineering experience in backend, data, or platform roles.
• 2+ years in Tech Lead / Engineering Lead capacity.
• Hands-on PHI-safe engineering and audit logging under HIPAA.
• Experience with FHIR R4 and US Core/HL7 lineage.
• Proficiency in Python and/or Node.js/TypeScript in production.
• Designing and operating large-scale, distributed systems with APIs and data pipelines.
• Strong reliability, error handling, retries, data quality, and observability.
• API security knowledge: OAuth 2.0 / OIDC, JWT.
• SQL and NoSQL data modeling and schema evolution.
• Cloud-native environments (AWS/Azure), Docker, Kubernetes, CI/CD.

Responsibilities

• Build/operate a FHIR server (R4/R4B) and related APIs.
• Transform and migrate HL7 v2, C-CDA to FHIR as needed.
• Engage in master patient index, MPI, and patient matching tasks.
• Participate in data lake/warehouse tasks using Databricks or Spark.
• Contribute to payer data exchanges and interoperability projects.
• Lead design reviews, code reviews, and cross-team architecture decisions.
• Mentor engineers and promote knowledge sharing.
• Develop LLM-based capabilities for clinical data processing.

Skills

Tech Lead

Healthcare domain

PHI handling

FHIR

Python

Node.js/TypeScript

Cloud native

Kafka

Docker

Kubernetes

CI/CD

Security

Tools

Databricks

Airflow

Docker

Kubernetes

Job description

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.

The engineering scope covers healthcare data pipelines, interoperability services, and the core FHIR platform. It is built on Python and/or Node.js/TypeScript, event-driven architecture (Kafka), cloud-native infrastructure, and AI-assisted engineering practices.

Requirements:

• 8+ years of professional software engineering experience (backend, data, or platform engineering), including 2+ years in a Tech Lead / Engineering Lead role


• Proven experience in the Healthcare / HealthTech / Digital Health domain


• Hands-on experience building systems that handle PHI under HIPAA requirements, including PHI-safe engineering practices, access control, and audit logging


• Hands-on experience with FHIR R4 and healthcare interoperability standards (US Core, USCDI, HL7)


• Strong hands-on expertise in Python and/or Node.js/TypeScript in production environments


• Experience designing and operating distributed, high-scale systems: APIs, data pipelines, event-driven architecture (Kafka or equivalent)


• Strong understanding of system reliability: idempotency, error handling, retries, data quality, and observability


• Experience with API security: OAuth 2.0 / OIDC, JWT


• Solid SQL and NoSQL skills, data modeling, and schema evolution


• Experience with cloud-native environments (AWS / Azure), Docker, Kubernetes, CI/CD, and automated testing


• Proven ability to set technical direction and drive architecture decisions across components and teams


• Experience leading and mentoring engineers through design reviews, code reviews, pairing, and knowledge sharing


• Practical experience using AI coding agents (Claude Code or similar) as part of the development lifecycle, and sound judgment on when AI fits and when deterministic solutions are safer, especially where PHI is involved


• Professional English (B2+) for direct collaboration with US-based technical and business stakeholders


• Experience with data orchestration tools such as Prefect or Airflow.


• Hands-on experience with Databriks

Responsibilities:

• Experience building or operating a FHIR server (R4/R4B), Bulk FHIR, SMART on FHIR, Patient Access APIs


• Knowledge of HL7 v2, C-CDA, and C-CDA-to-FHIR transformation


• Familiarity with healthcare terminologies: SNOMED CT, LOINC, RxNorm, ICD-10, CPT


• Experience with Databricks / Spark / Delta Lake or other lakehouse platforms


• Experience with Master Patient Index (MPI), patient matching, or record linkage


• Experience with payer data exchange (CARIN Blue Button, Da Vinci) or integrating EHR/EMR, HIE, pharmacy, or lab systems


• Knowledge of US healthcare regulations: 21st Century Cures Act, ONC certification, CMS Interoperability Rule


• Experience with consent management, resource-level access control, and tenant isolation


• Experience building LLM-based capabilities for clinical data processing or data quality


• Contributions to open-source healthcare or FHIR/HL7 communities


• Contributions to the design and scaling of event-driven and real-time data pipelines using tools like Kafka, Spark, and DuckDB.