Senior Full-Stack Software Engineer, Clinical Intelligence

Medecision

Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, develop, and maintain Java/Spring Boot microservices and React microfrontend (MF) components on GCP
Build full-stack features end-to-end: RESTful APIs and TypeScript/Tailwind CSS frontend
Implement event-driven workflows using Pub/Sub
Own GitLab CI/CD pipelines end-to-end
Write JUnit 5/Mockito (backend) and Jest/React Testing Library (frontend) tests
Author Storybook stories
Use Datadog for backend and RUM observability
Collaborate with on-shore and off-shore teams, architects, and tech leads
Engage proactively in the triage and resolution of escalated production issues
Follow and comply with all security policies and procedures
Design and develop backend services across core Clinical Intelligence modules
Integrate with platform services and external partners
Implement FHIR R4 integrations and healthcare interoperability workflows
Contribute to the API and MCP layers
Use Claude Code as a primary productivity tool
Contribute to building and exposing MCP-wrapped APIs
Contribute to the team's shared AI knowledge base

5+ years of backend engineering building production microservices in Java with Spring Boot
3+ years of production TypeScript/React experience with microfrontend architecture
Proficiency with Vite, Tailwind CSS, TanStack React Query, Storybook, and Jest/React Testing Library
Proven ability to design and implement RESTful APIs
Understanding of multi-tenant SaaS architecture patterns
Hands-on experience with Google Cloud Platform services
Experience with event-driven architecture and asynchronous processing patterns
Excellent communication skills
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
Applicants must be authorized to work for any employer in US

Knowledge of HIPAA and experience working in HIPAA-regulated product environments
Hands-on experience with HAPI FHIR R4 and healthcare interoperability standards
Exposure to the AI agent runtime stack
Experience with infrastructure-as-code (Terraform) for provisioning and managing GCP environments

Skills