Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Arcadia’s Care Coordination Platform powers the front-end tools and user experiences that enable healthcare administrators to manage patient care effectively. This platform is central to improving outcomes for millions of patients by providing intuitive workflows, real-time insights, and AI-driven recommendations.
As a Full Stack Engineer on this team, you will design and build scalable, secure, and user-friendly applications that integrate with Arcadia’s data ecosystem. You’ll work across the stack—from React-based interfaces to Kotlin/Spring Boot services—while leveraging AWS infrastructure and AI capabilities to deliver smarter care coordination.
You’ll play a crucial role in supporting and working to deprecate legacy applications as we build towards the future.
What Success Looks Like
In 3 months
- Understand the Care Coordination Platform architecture and workflows
- Contribute to front-end development using React and TypeScript
- Build and deploy backend services in Java, Kotlin, SpringBoot
- Familiarity with AI-driven features and integration points such as Claude and Cursor
In 6 months
- Deliver new features end-to-end across the stack
- Implement AI-powered functionality to enhance user experience
- Optimize application utilization of AWS infrastructure (S3, ECS, RDS, Athena)
- Collaborate effectively with product, design, and data science teams
In 12 months
- Act as a technical lead for new feature development
- Drive innovation in AI-based care coordination tools
- Mentor junior engineers and influence architectural decisions
- Identify opportunities for performance and process improvements