Job Summary

We are seeking an experienced Full Stack .NET Architect with strong expertise in C#, .NET Core, React, and AI-assisted software development tools. The ideal candidate will have hands-on experience designing and developing enterprise applications, modernizing software platforms, and leveraging AI tools to improve software delivery across the Software Development Lifecycle (SDLC). This role requires a technical leader who can provide architectural guidance, collaborate across engineering teams, and drive the adoption of modern development practices.

Key Responsibilities
• Design, develop, and architect scalable full-stack applications using .NET and React.
• Develop secure, high-performing backend services and responsive frontend applications.
• Design and implement RESTful APIs and microservices-based architectures.
• Provide technical leadership and architectural guidance to development teams.
• Define coding standards, design patterns, and software engineering best practices.
• Collaborate with product owners, architects, and cross-functional engineering teams to deliver enterprise solutions.
• Optimize application performance, scalability, security, and maintainability.
• Leverage AI-assisted development tools to improve productivity, code quality, testing, documentation, and software delivery.
• Support the adoption of AI-enabled SDLC practices and continuous improvement initiatives.
• Participate in architecture reviews, code reviews, Agile ceremonies, and technical discussions.
• Mentor developers and promote engineering excellence across the organization.

Required Qualifications
• 8+ years of overall software development experience.
• Strong hands-on experience with C#, .NET, ASP.NET Core, and .NET Core.
• Strong frontend development experience with React.js, TypeScript, and JavaScript.
• Experience designing and developing RESTful APIs.
• Experience building microservices-based architectures.
• Experience developing enterprise-scale applications.
• Strong understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and application architecture.
• Experience with application performance optimization and scalability.
• Hands-on experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar AI coding assistants.
• Experience applying AI tools throughout the SDLC, including:
• Code generation
• Code reviews
• Debugging
• Documentation
• Test automation
• Development acceleration
• Understanding of prompt-driven development and AI-assisted engineering workflows.

Preferred Qualifications
• Experience with AI-driven SDLC frameworks such as BMAD or similar.
• Experience building enterprise development frameworks and platforms.
• Cloud experience with Azure and/or AWS.
• Experience with DevOps practices and CI/CD pipelines.
• Experience with Git, Docker, Kubernetes, Azure DevOps, and GitHub Actions.
• Experience working in Agile/Scrum environments.
• Strong communication, leadership, and stakeholder management skills.