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Med Clinic X in the United States is seeking a Backend Engineer to design, develop, and maintain scalable backend services for healthcare SaaS and digital health platforms. You will build APIs, microservices, and data-driven systems powering clinical workflows, patient portals, and AI healthcare applications, collaborating with frontend, DevOps, and product teams to ensure secure systems.
The role emphasizes secure handling of healthcare data, EHR/EMR integrations, HIPAA awareness, and scalable
Med Clinic X is a healthcare technology company building modern, scalable backend systems that power healthcare organizations across the United States.
We develop healthcare SaaS platforms, AI-driven healthcare systems, patient portals, telemedicine solutions, automation workflows, and cloud-based digital health products for clinics, hospitals, and healthcare providers.
Our mission is to build secure, high-performance backend systems that support mission-critical healthcare operations and real-time healthcare workflows.
We are seeking a Backend Engineer to design, develop, and maintain scalable backend services for healthcare SaaS and digital health platforms.
In this role, you will build APIs, microservices, and data-driven systems that power clinical workflows, patient portals, and AI healthcare applications. You will collaborate with frontend engineers, DevOps teams, and product teams to build reliable and secure healthcare systems.
At Med Clinic X, you will build backend systems that power real healthcare transformation. You will:
Build versioned RESTful and GraphQL APIs powering patient, appointment, and clinical data flows.
Develop backend logic for clinical workflow automation, scheduling, and care coordination.
Build HL7 FHIR-compliant integration layers connecting EHR systems to healthcare SaaS platforms.
Develop backend data pipelines feeding ML inference engines and AI clinical decision systems.
Build secure, HIPAA-compliant backend services for patient-facing portal applications.
Develop session management, real-time signaling, and media routing backends for telehealth.