Head of Engineering – AI-Native Healthcare
Job Description
Responsibility
for the system architecture across the complete stack: web applications, APIs, infrastructure, and AI integrations.
• Establish the release pipeline, including CI/CD practices, environment setups, quality checkpoints, and deployment automation.
• Responsible for engineering security measures, including access control, secrets management, audit trails, and SDLC security protocols.
• Define AI governance policies, ensuring that AI tools utilized promote speed while preventing vulnerabilities.
• Construct the engineering team, delineate roles, maintain hiring standards, conduct technical interviews, and develop the engineering organization.
Requirements:
• 10-18 years in software engineering, including a minimum of 4 years in engineering management, overseeing delivery, managing personnel, and making architectural decisions beyond just having the title of “team lead
• Managed teams of 5-20+ engineers – direct oversight, recruitment, performance evaluations, mentorship, and, when necessary, termination.
• System architecture – Designed and advanced SaaS systems. Capable of reasoning across front-end, back-end, database, and infrastructure components. Has made significant trade-off decisions while working within real constraints.
• CI/CD and release engineering – Created or significantly enhanced release pipelines, quality gates, and environment management. Understands what it means to “ship confidently”.
• Cloud infrastructure Azure or AWS – Managed production systems. Possesses knowledge of security, reliability, and cost trade-offs.
• Full-stack technical depth – While not in an IC role, is hands-on enough to review code, debug production issues, and question engineers on design choices. Developers value your technical insights.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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