Principal Full-Stack Engineer at Tech Firefly | Torre
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Principal Full-Stack Engineer

You'll architect next-gen healthcare interoperability, shaping complex clinical ecosystems with cloud-native solutions.
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Freelance
Recurrent
Compensation
USD120 - 130/hour
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Remote (for United States residents)
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Emma of Torre.ai
9 days ago

Requirements and responsibilities


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: RemotePay: $120-130/hourContract Length: 12+ MonthsResponsibilitiesLead 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.Requirements12–15 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 HaveFamiliarity 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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