Back
Metro senior role with broad cloud/AI requirements and moderate brand, causing medium competition.
High due to healthcare interoperability, HIPAA compliance, and domain-specific AI experience requirements.
Explicit 10+ years, leadership requirement, healthcare/HIPAA and specific tech mandates increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and lead development of scalable, distributed cloud-native healthcare platforms leveraging AI-First and AI-Augmented software engineering.
Drive adoption of AI-assisted development workflows including spec-driven development, AI coding assistants, code reviews, and testing to improve developer productivity and software quality.
Provide hands-on technical leadership, mentor engineers, and establish standards for architecture, code quality, security, and responsible AI usage in a HIPAA-compliant environment.
10+ years of software development experience including 2+ years in Staff Engineer, Principal Engineer, or equivalent technical leadership role.
Bachelor's or Master's degree in Computer Science or related technical discipline.
Proven experience building large-scale cloud-native distributed systems on AWS, Azure, Google Cloud, or OCI.
Strong expertise in Java, Python, Node.js, or Ruby/Rails; experience with microservices, Kubernetes, Docker, API design, messaging systems, and healthcare interoperability standards (FHIR, HL7, CDA).
Experienced in driving AI-First engineering initiatives and adoption of AI-assisted development tools such as Cursor, GitHub Copilot, or similar.
Skilled at leading cross-functional collaboration among product, AI, security, compliance, QA, and DevOps teams in a regulated healthcare environment.
Strong strategic and hands-on leadership in scaling cloud-native distributed systems with focus on AI-augmented software delivery and compliance with healthcare data privacy regulations.