.NET Engineering Lead Application Modernization

.Net Engineering Lead Application Modernization (React, FastAPI, .NET)
Location : Atlanta, GA (relocation works) 
15+ years
H1B,EAD, USC

Must have skills: (React, FastAPI, .NET. AI Tools, Python, Cloud platforms, AI Coding, strong on Java also

Summary
The Engineering Lead is responsible for transforming legacy enterprise applications into a scalable, cloud native, microservices-based architecture. This role requires strong hands-on expertise across backend and frontend modernization, leveraging technologies such as Java, Spring Boot, Python (Fast API), .NET, and React. The position plays a critical role in adopting AI-assisted engineering practices, utilizing the client’s Agentic AI development framework to accelerate application analysis, refactoring, modernization, and automated testing while maintaining high standards of engineering quality, security, and delivery excellence.
•    Lead modernization of ASP/.NET applications to ReactJS + Python FastAPI architecture
•    Define API-first and microservices modernization approach
•    Guide engineers on AI-assisted development using agentic frameworks
•    Review and validate AI-generated code, tests, and documentation
•    Drive engineering best practices, CI/CD, and automated testing
•    Conduct code reviews, architecture decisions, and technical governance
•    Coordinate with stakeholders on delivery roadmap and modernization strategy
•    Mentor engineers and ensure quality, scalability, and security
Required Skills
Core Engineering & Architecture
•    Strong hands-on experience in application development using Java/JSP/J2EE and ASP.NET / C#
•    Solid backend development experience with relational databases, including SQL (T-SQL, PL/SQL)
•    Proven experience modernizing monolithic applications into microservices-based architectures
•    Hands-on experience developing modern front-end applications using ReactJS
•    Experience designing and building RESTful APIs using Python, preferably with Fast API.
•    Strong understanding of API design principles, microservices patterns, and CI/CD pipelines
•    Demonstrated experience leading engineering teams and effectively managing customer expectations and delivery commitments
AI-Assisted Engineering
•    Hands-on experience with AI coding assistants such as GitHub Copilot and AI-enabled IDE tools
•    Experience in prompt engineering and designing Agentic workflows, including agents and sub-agents, using GitHub Copilot.
•    Ability to guide and mentor teams in applying AI tools for code refactoring, test automation, and documentation generation
•    Experience reviewing, validating, and improving AI-generated engineering artifacts to meet enterprise quality standards
Nice-to-Have Skills
•    Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform
•    Experience with automated application modernization or code migration tools
•    Familiarity with Vibe Engineering concepts and platforms such as Replit, Lovable, or similar AI-driven development environments