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Mid-level generalist role with broad tech stack and metro location increases applicant competition.
Requires healthcare interoperability (HL7/FHIR), HIPAA familiarity and clinical domain expertise, reducing cross-industry transferability.
Explicit 5+ years plus many mandatory cloud, backend, AI, and healthcare interoperability skills makes filtering strict.
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Design, develop, and maintain scalable cloud-native and on-premise healthcare applications using microservices, RESTful APIs, and modern frontend frameworks.
Build AI-powered applications leveraging Large Language Models and AI-assisted development tools, ensuring compliance with healthcare regulations such as HIPAA and interoperability standards like HL7, FHIR, and CDA.
Lead DevOps initiatives by implementing CI/CD pipelines and containerized applications with Docker and Kubernetes, collaborating with cross-functional teams including product managers and clinical domain experts.
Bachelor's or Master's degree in Computer Science or related technical discipline.
Minimum 5 years of software development experience.
Proven expertise with cloud platforms (AWS, Azure, Google Cloud, or OCI) and technologies including Java, Python, Node.js, microservices architecture, Kubernetes, Docker, messaging systems, and modern frontend frameworks (React, Vue.js, Angular).
Experience with AI-powered applications using Large Language Models and AI-assisted coding tools; familiarity with healthcare interoperability standards (HL7, FHIR, CDA) and healthcare security/compliance (HIPAA).
Experienced in building large-scale, high-availability distributed systems in healthcare technology with strong focus on security and compliance.
Skilled in integrating AI technologies, especially Large Language Models, to enhance healthcare application capabilities and development productivity.
Capable of collaborating effectively with multidisciplinary teams including architects, QA, and clinical domain experts within regulated healthcare environments.