API Engineer II

We are seeking a Backend Engineer II to deliver high-quality APIs and workflow services with a focus on interoperability and AI‑enablement use cases. You will have growing responsibilities within the engineering team, working closely with senior engineers to develop robust backend solutions that support healthcare workflows.

• Develop, enhance, and maintain API endpoints and backend services.
• Implement business workflows, validations, and integrations across internal systems and partner APIs.
• Assist with FHIR API development and resource mapping under the guidance of senior engineers.
• Help package approved services for AI consumption by creating well‑structured service interfaces and applying MCP‑related patterns.
• Write unit tests, integration tests, and maintain clear developer documentation.
• Participate in design discussions, troubleshooting, and production issue resolution.

• Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• 2-4 years of backend development experience.
• Strong understanding of REST APIs, authentication, and service‑layer design principles.
• Experience with relational databases and data transformation processes.
• Familiarity with healthcare data models or a demonstrated ability to quickly learn FHIR concepts.
• Experience deploying or supporting services on Google Cloud Platform (GCP).
• Strong problem‑solving skills and solid engineering fundamentals.

• Proficiency with Python, Java, Node.js, or similar backend languages commonly used for API development.
• Exposure to AI integration workflows or tool‑based service patterns such as MCP.
• Java Development:
  Strong proficiency in Java, including frameworks such as Spring Boot for building RESTful APIs.
• API Gateway Management:
  Experience with Kong, Apigee or similar API Gateway for configuring, deploying, and managing APIs, including plugins for authentication, rate limiting, and monitoring.
• Containerization and Orchestration:
  Experience with Docker for containerizing Java applications and Kubernetes for orchestration in GCP environments.
• Security:
  Knowledge of API security best practices, including OAuth2, JWT tokens, API keys, and encryption both in transit and at rest.
• CI/CD Pipelines:
  Experience designing and implementing continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, Git Lab CI, or Google Cloud Build.
• Monitoring and Logging:
  Familiarity with monitoring tools such as Prometheus, Grafana, Google Cloud Monitoring, and centralized logging with Google Cloud Logging or ELK Stack.
• Networking and Load Balancing:
  Understanding of networking concepts within GCP, including Virtual Private Cloud (VPC), firewall rules, and load balancing for API traffic management.
• API Design and Documentation:
  Experience with API specification standards such as OpenAPI/Swagger and tools for API documentation and testing (e.g., Postman).

• Opportunity to work on innovative projects with a dynamic team.
• Professional development and growth opportunities.
• Competitive salary and benefits package.
• Supportive and inclusive work environment.