Medecision Inc

Compensation

Full Description

Description: Role Overview We are seeking an API Engineer, Manager to provide day-to-day technical leadership for our API team. In this critical role, you will convert architectural vision into scalable, production-ready APIs and services, integrating healthcare standards such as FHIR, enabling secure deployments on GCP, and supporting AI-enabled workflows. You will collaborate closely with architects and cross-functional teams to maintain the security, reliability, and interoperability of our platform. Requirements: Key Responsibilities • Lead API design and implementation for internal platform services, partner integrations, and interoperability workflows. • Translate architecture and security standards into concrete service patterns, interface contracts, and coding standards for the team. • Design and develop FHIR-based APIs, including resource mapping, validation, and interoperability workflows. • Lead the technical implementation of MCP wrappers around key APIs and services, enabling AI-driven agents to safely access approved tools and data. • Conduct design and code reviews; mentor backend, DevOps, and QA team members. • Collaborate with architects to enforce security best practices, auditability, tenant isolation, and operational reliability across deployments. Qualifications • 7-10 years of backend or API engineering experience with demonstrable technical leadership. • Proven expertise designing RESTful APIs, including service contracts, versioning strategies, error handling, and scalability. • Hands-on experience with FHIR APIs and healthcare interoperability standards. • Experience building or exposing APIs and services to support AI or agent-based workflows; familiarity with MCP is strongly preferred. • Proficient with GCP services such as Cloud Run, GKE, Pub/Sub, Cloud SQL, API Gateway, IAM, logging, and monitoring. • Excellent communication skills, with the ability to guide and lead execution in a fast-paced environment. Preferred Experience • Background in healthcare, payer operations, or working with regulated data environments. • Familiarity with event-driven architectures and asynchronous processing patterns.