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Metro location plus broad technical and AI skill requirements increases applicant competition to medium.
Strong Microsoft, Azure, and GenAI architecture requirements reduce cross-industry transferability to medium.
Explicit 12–15 years requirement and many mandatory tech stack items make shortlisting highly strict.
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Own end-to-end delivery of AI-first intelligent platforms including architecture, development, deployment, and production operations with focus on quality and predictability.
Lead and manage engineering team performance, capacity planning, mentoring, and hiring, balancing 70% hands-on technical leadership with 30% people management.
Drive technical direction, architectural decisions and cross-team coordination to deliver scalable, secure, compliant AI-driven solutions in Agile environments.
Bachelor's degree or equivalent in software development or related field.
12-15 years programming experience in Microsoft technologies; 5+ years leading small to mid-sized engineering teams.
4+ years strong ReactJS experience; 5+ years Azure PaaS/SaaS experience, including building CI/CD pipelines and containerization with Docker/AWS Elastic.
Must have hands-on skills with .NET Core, C#, ASP.NET, MS SQL Server, GitHub or equivalent, Agile delivery, Azure DevOps, ReactJS, TypeScript, JavaScript, Azure AD, App Services, and container orchestration.
Senior engineering leader who can balance hands-on coding with managing delivery and people across AI-first cloud-native platforms.
Experienced in scalable, high-traffic web application architecture with strong expertise in Microsoft tech stack and modern DevOps.
Capable of guiding complex AI/GenAI technical challenges and translating business/regulatory needs into secure, compliant solutions in Agile, experimentation-driven setups.