Senior Interoperability Engineer (Python, Kafka)

We are looking for a Senior Interoperability Engineer to build and scale healthcare integrations for a Digital Health platform connecting providers, payers, clinical systems, and external healthcare networks.

This is a hands-on engineering role focused on Python, Kafka, high-scale APIs, healthcare interoperability, and secure data exchange .

Project Overview:

• The platform connects healthcare data from multiple clinical and administrative systems and makes it available through secure, standards-based APIs.
• The Interoperability domain is responsible for building and operating integrations with external healthcare systems, processing high-volume data exchange, and providing reliable APIs consumed by internal products and partners.
• The engineering environment is based on Python, event-driven architecture, Kafka, REST/FHIR APIs, OAuth-based security, and cloud-native services .

Requirements:

• 5+ years of professional backend or integration engineering experience.
• Strong hands-on experience with Python in production environments.
• Experience designing and operating high-scale REST APIs and backend services .
• Strong experience with Kafka or comparable event-streaming technologies.
• Solid understanding of distributed and event-driven architectures .
• Strong experience with API authentication and authorization, including OAuth 2.0, OIDC, and JWT .
• Experience integrating external systems and APIs in complex enterprise environments.
• Hands-on experience with FHIR or healthcare interoperability APIs .
• Strong understanding of API reliability, error handling, retries, idempotency, and observability.
• Experience with SQL and/or NoSQL databases.
• Experience with Docker, cloud-native environments, and CI/CD.
• Strong troubleshooting and production problem-solving skills.

Nice to Have:

• Experience with FHIR R4, SMART on FHIR, US Core, or USCDI .
• Knowledge of HL7 v2 or CDA/C-CDA .
• Experience integrating EHR/EMR, payer, HIE/HIN, pharmacy, or laboratory systems.
• Experience with Patient Access APIs, Bulk FHIR, or CMS interoperability requirements .
• Experience with Kubernetes and AWS.
• Healthcare or Digital Health domain experience.
• Experience using AI-assisted engineering tools in day-to-day software development.

Responsibilities:

• Design and develop scalable healthcare interoperability services and APIs .
• Build event-driven integrations using Python and Kafka .
• Implement and support FHIR-based healthcare data exchange.
• Develop secure APIs using OAuth 2.0/OIDC and JWT .
• Integrate external healthcare systems, data providers, and partner APIs.
• Implement data validation, transformation, mapping, and error-handling logic required for interoperability workflows.
• Troubleshoot complex integration, authentication, and distributed-system issues.
• Improve API performance, scalability, reliability, and observability.
• Build automated tests covering API behavior and integration scenarios.
• Participate in architecture discussions, code reviews, and engineering standards.
• Why this position:
• Build core interoperability capabilities for a large-scale Digital Health platform. You’ll work on high-volume healthcare integrations, secure APIs, Kafka-based event processing, and FHIR interoperability rather than traditional ETL or analytics pipelines.