Dot Net Full Stack Technical Lead with AI

Key Responsibilities

• Lead the design and development of enterprise-grade full-stack applications using C#, .NET/.NET Core, REST APIs, and Angular or React.
• Provide technical leadership across architecture, development, code reviews, quality engineering, and deployment.
• Design scalable backend services, APIs, integration layers, and modern web applications.
• Establish engineering standards around clean architecture, design patterns, reusable components, security, testing, and maintainability.
• Provide hands-on technical guidance to developers and troubleshoot complex production issues.
• Leverage Claude, GitHub Copilot, and other GenAI coding assistants to improve developer productivity across coding, refactoring, unit testing, documentation, debugging, and code analysis.
• Build or integrate LLM/GenAI-powered application capabilities using APIs and appropriate orchestration patterns.
• Develop appropriate guardrails around AI-generated code, including review, testing, security validation, and responsible handling of enterprise data.
• Collaborate with architects, product owners, DevOps, QA, security, and business stakeholders.
• Drive CI/CD, automated testing, observability, and cloud-native development practices.

Required Technical Skills

Backend

• Strong hands-on experience with C# and .NET/.NET Core
• Core / Web API
• RESTful services and microservices
• Strong experience designing scalable backend services, APIs, and integration layers

Frontend

• Strong hands-on development experience with Angular and/or React
• Experience developing modern, scalable enterprise web applications
• Strong understanding of reusable components and maintainable application architecture

Architecture & Engineering

• Strong understanding of clean architecture and design patterns
• Experience building reusable and maintainable enterprise application components
• Strong knowledge of application security, testing, quality engineering, and deployment
• Ability to lead architecture decisions, code reviews, and engineering best practices
• Hands-on experience troubleshooting complex production issues

DevOps & Cloud-Native Engineering

• Experience with CI/CD
• Automated testing
• Observability
• Cloud-native development practices

GenAI / AI-Assisted Development

• Hands-on exposure to Claude and/or GitHub Copilot
• Experience using GenAI coding assistants for coding, refactoring, unit testing, documentation, debugging, and code analysis
• Experience building or integrating LLM/GenAI-powered capabilities through APIs
• Understanding of appropriate LLM orchestration patterns
• Experience implementing guardrails around AI-generated code, including code review, testing, security validation, and responsible enterprise data handling

Leadership & Collaboration

• Strong technical leadership with the ability to guide and mentor development teams.
• Ability to work closely with architects, product owners, DevOps, QA, security teams, and business stakeholders.
• Ability to balance hands-on development with architecture and technical leadership responsibilities.
• Drive high engineering standards across development, testing, security, deployment, and maintainability.