Senior Interoperability Engineer in United

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.

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• 5+ years of professional backend or integration engineering experience.

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• Strong hands-on experience with Python in production environments.

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• Experience designing and operating high-scale REST APIs and backend services.

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• Strong experience with Kafka or comparable event-streaming technologies.

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• Solid understanding of distributed and event-driven architectures.

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• Strong experience with API authentication and authorization, including OAuth 2.0, OIDC, and JWT.

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• Experience integrating external systems and APIs in complex enterprise environments.

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• Hands-on experience with FHIR or healthcare interoperability APIs.

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• Strong understanding of API reliability, error handling, retries, idempotency, and observability.

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• Experience with SQL and/or NoSQL databases.

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• Experience with Docker, cloud- environments, and CI/CD.

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• Strong troubleshooting and production problem-solving skills., * Experience with FHIR R4, SMART on FHIR, US Core, or USCDI.

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• Knowledge of HL7 v2 or CDA/C-CDA.

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• Experience integrating EHR/EMR, payer, HIE/HIN, pharmacy, or laboratory systems.

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• Experience with Patient Access APIs, Bulk FHIR, or CMS interoperability requirements.

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• Experience with Kubernetes and AWS.

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• Healthcare or Digital Health domain experience.

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• Experience using AI-assisted engineering tools in day-to-day software development.

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

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The platform connects healthcare data from multiple clinical and administrative systems and makes it available through secure, standards-based APIs.

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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.

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The engineering environment is based on Python, event-driven architecture, Kafka, REST/FHIR APIs, OAuth-based security, and cloud- services.

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