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Tier-1 employer, mid-level generalist role, metro location, broad skillset increases applicant competition.
C#/.NET, cloud and AI-integration skills transfer well, healthcare domain adds some bias.
Explicit 4–7 years and specific tech stack increase hiring filters.
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Design, develop, and maintain secure, scalable healthcare software leveraging AI to enhance engineering productivity and software capabilities.
Integrate AI-powered services and intelligent features into applications while validating AI-generated outputs and applying responsible AI principles.
Collaborate with cross-functional global teams adopting emerging AI technologies and modern engineering practices to deliver innovative healthcare solutions.
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related discipline.
4–7 years of experience in software development using modern engineering practices.
Proficiency in C#, .NET / .NET Core, REST APIs, Microservices, Angular/React/JavaScript/TypeScript/HTML5/CSS.
Experience with Microsoft Azure (preferred), Docker/Kubernetes, Azure DevOps, CI/CD pipelines, and AI integration (e.g., Large Language Models, AI-assisted development tools).
Experienced in developing enterprise-scale, cloud-native applications with secure coding and software quality practices.
Skilled at integrating AI services and applying responsible AI principles within software development lifecycle.
Familiar with healthcare software development regulations, AI orchestration frameworks, and engineering in regulated environments.