Elsevier

Elsevier

API Backend Developer

Philadelphia, Pennsylvania

Sponsorship not specifiedDetected 31 days ago
JavaScriptJavaNode.jsDistributed SystemsDockerKubernetesCI/CDAPI DevelopmentRESTgRPCOAuthOpenAPICybersecurityTest AutomationTCP/IPDNSLoad BalancingHL7/FHIR

About the role

  • You will focus on Kong API Management, backend API lifecycle (setup, testing, maintenance), HL7 FHIR, and enterprise integrations, primarily using Java and JavaScript.
  • The ideal candidate has solid network fundamentals, can work comfortably with YAML (for declarative configs and pipelines), and thrives in pragmatic, production-oriented engineering-no frontend development in this space.
  • It combines a massive curated medical knowledge base with conversational AI so clinicians can ask questions in natural language and get concise, clinically relevant responses backed by real scientific evidence.

Responsibilities

  • Design & Build Distributed Services
  • Building and maintaining a FHIR data facade that maps internal domain data to FHIR resources (read/search/transform), ensuring correctness and performance.
  • Developing backend integrations with downstream systems (REST, gRPC, messaging/queues) and handle schema/contract evolution.
  • Owning the API lifecycle: design (OpenAPI), implementation, automated testing (unit/integration/contract), versioning, and SLO-driven operations.
  • Implementing OAuth2/OIDC flows, token introspection, and service-to-service auth. Apply secure coding practices and least-privilege network policies; partner with InfoSec on reviews.

Requirements

  • 3+ years of Professional Experience in backend software engineering.
  • working proficiency in JavaScript/Node.js.
  • familiarity with FHIR resource modeling and transformations (e.g., Patient, Observation, Encounter).
  • Experience working with HL7 FHIR or adapters

Nice to have

  • Implementing resilient, observable microservices and integration components (Java preferred
  • Node.js/JavaScript where appropriate).

Skills

  • Experience deploying and operating services in a cloud or containerized environment (Docker/Kubernetes).
  • Cloud & Ops: Experience deploying and operating services in a cloud or containerized environment (Docker/Kubernetes).
Apply directly at Elsevier →Create a free account for alerts like thisView Elsevier immigration profile

This listing is sourced directly from Elsevier's careers page and normalized into a canonical job model.