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Mid-level fullstack title, metro location, and well-known startup brand make competition high.
Full-stack engineering skills are broadly transferable across industries despite healthcare domain context.
Requires explicit 3+ years and mandatory full-stack plus AI coding tool expertise, increasing shortlisting strictness.
Design, build, test, and deploy scalable full-stack applications with end-to-end feature ownership.
Leverage AI-assisted coding tools and AI-native software development practices throughout the engineering lifecycle.
Drive improvements in performance, scalability, security, and collaborate with cross-functional teams to solve complex healthcare problems.
Minimum 3+ years software engineering experience with strong ownership mindset.
Proficiency in JavaScript/TypeScript, HTML, CSS, ReactJS or similar frontend framework, and backend technologies such as Node.js, Python, or Java.
Hands-on experience using AI coding tools like GitHub Copilot, Cursor, or Claude Code as part of development workflow.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experienced in building and integrating end-to-end full-stack applications targeting scalable and robust production-grade healthcare software.
Comfortable working in an AI-native engineering environment with deep understanding of AI-assisted coding, testing, debugging, and iterative development (AIDLC).
System thinker who understands broader system impacts and proactively drives technical solutions and improvements without requiring direction.