Design, develop, and maintain scalable APIs, backend services, user interfaces, and business applications. The role includes cloud infrastructure and CI/CD optimization using AWS, Docker, and Kubernetes; application security; testing; observability; Agile collaboration; and mentoring junior engineers. The engineer will independently drive solutions from design through production while applying modern system design, database, microservices, and AI-assisted development practices.

Lead and manage a team developing and operationalizing machine learning systems for structured and unstructured clinical data (EHR, text, imaging). Define technical strategy, oversee model lifecycle management, fine-tune and deploy foundation models, ensure data quality and model governance, partner cross-functionally, and mentor ML scientists and technical leaders.