Lead architecture and hands-on development of cloud-native Java microservices with an Angular frontend. Build FHIR/HL7-based interoperability pipelines, design scalable event-driven systems on GCP, and ensure data integrity across PostgreSQL/Spanner while defining engineering best practices and guiding agile teams.
We are looking for a highly skilled Principal Full Stack Engineer to drive the development of our next-generation, interoperable healthcare solutions. This role requires a seasoned engineer who can seamlessly balance high-level architectural design with hands-on full-stack delivery.
The ideal candidate will have deep roots in Java ecosystems, strong frontend capabilities in Angular, and a comprehensive understanding of healthcare interoperability standards (FHIR/HL7) to connect complex clinical ecosystems.
Location: Remote
Pay: $120-130/hour
Contract Length: 12+ Months
Responsibilities
- Lead the design and development of end-to-end applications, combining robust Java Microservices with a modern Angular frontend.
- Architect seamless data exchange pipelines utilizing FHIR/HL7 standards and API Gateways.
- Design and deploy scalable, cloud-native, and event-driven distributed systems on GCP.
- Ensure data integrity and performance across PostgreSQL and distributed databases like Google Cloud Spanner.
- Define engineering best practices, conduct code reviews, and guide agile teams toward successful product launches.
Requirements
- 12–15 years of experience in full-stack software development, with significant tenure in architectural or principal roles.
- Prior experience in the Healthcare domain is highly preferred.
- Expert knowledge of Java Microservices, API Gateways, and healthcare compliance standards (FHIR / HL7).
- Strong proficiency with Angular for building scalable enterprise user interfaces.
- Proven experience architecting solutions on GCP and managing PostgreSQL or Spanner databases.
- Advanced mastery of cloud-native systems, service mesh, and event-driven patterns.
Nice to Have
- Familiarity with Electronic Health Record (EHR) systems, specifically EPIC.
- Proficiency with Python.
- Experience with GKE, GCS, and APIGEE.
- Exposure to Agentic AI and AI-assisted coding methodologies.
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