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Senior role with niche AI-healthcare-cloud requirements reduces applicant competition.
Requires healthcare interoperability and HIPAA experience, making background fit highly domain-sensitive.
Explicit 10+ years, leadership requirement, and specific cloud, healthcare and AI tech mandates raise filter strictness.
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Architect and lead development of scalable, distributed, cloud-native healthcare platform services and APIs, ensuring interoperability with healthcare standards (FHIR, HL7, CDA).
Drive adoption and integration of AI-First and AI-Augmented software engineering practices to improve developer productivity, software quality, and engineering velocity across multiple engineering teams.
Provide hands-on leadership in architecture, design, code quality, debugging, performance, and mentoring within a complex, HIPAA-compliant healthcare environment.
Bachelor's or Master's degree in Computer Science or related technical discipline.
10+ years of software development experience, including 2+ years in a senior technical leadership role (Principal Engineer, Staff Engineer, or equivalent).
Proven experience building large-scale cloud-native distributed systems using AWS, Azure, Google Cloud, or OCI.
Strong expertise in Java, Python, Node.js or Ruby/Rails; experience with microservices, Kubernetes, Docker, messaging systems, healthcare interoperability standards (HL7, FHIR, CDA), and hands-on use of AI-assisted development tools.
Experienced technical leader who can combine deep software architecture and development skills with driving organization-wide adoption of AI-assisted engineering workflows.
Strong background in cloud-native distributed systems and healthcare interoperability in regulated environments (HIPAA compliance).
Comfortable leading multi-disciplinary collaboration between engineering, AI teams, product, QA, security, and compliance to deliver innovative, secure, and reliable healthcare software solutions.