Senior Full Stack Mern Developer for Enterprise Healthcare Platform

We are seeking a highly skilled and experienced Technical Full Stack Developer to lead the development and scaling of our next-generation enterprise healthcare platform. This is a critical role for a professional capable of taking full ownership of the software development life cycle (sdlc) within a robust mern (mongodb, express, react.js, Node.js) ecosystem, enhanced with Supabase and AI integration. The platform is designed to meet the stringent demands of a regulated, high-stakes healthcare environment, requiring a blend of startup agility and enterprise-grade rigor.

We are looking for a partner who can deliver a platform that is inherently scalable, secure, HIPAA-conscious, and highly performant. The ideal candidate will be instrumental in shaping the technical direction and ensuring the successful implementation of complex features.

Key Responsibilities will include:
- Leading architectural design and full stack feature implementation utilizing React.js, Node.js, Next.js, TypeScript, and MongoDB/PostgresSQL across the entire healthcare platform.
- Developing and maintaining secure REST APIs and microservices, ensuring seamless integration with Electronic Health Records (EHRs), patient management systems, and existing legacy clinical infrastructure.
- Managing cloud infrastructure (AWS/Azure/gcp) and optimizing ci/cd pipelines to facilitate rapid, stable, and reliable deployments.
- Architecting and optimizing MongoDB schemas specifically for high-volume patient data, focusing on efficient indexing, robust data integrity, and a compliance-ready structure.
- Translating intricate clinical workflows into intuitive, responsive, and user-friendly frontend interfaces using React.js and Next.js.
- Implementing enterprise-standard security protocols, including OAuth2, OpenID Connect, phi/pii encryption, comprehensive role-based access control, and detailed audit logging, all meticulously aligned with hipaa requirements.
- Integrating core AI functionalities to effectively process historical patient data and provide intelligent support for clinical decision-making processes.