Lead Software Engineer C# / .Net in Pittsburgh

You will work closely with the Principal Architect on greenfield backend services, modern authentication environments, and broader technology refresh initiatives. The ideal candidate will have a strong .NET background and be comfortable working across both backend and frontend development.

These are hands-on engineering positions for experienced developers who have spent their careers writing production code, solving complex software problems, and building a strong foundation in software engineering., * 8+ years of professional software development experience required. \n

• Strong track record of hands-on software development and production coding. \n

• .NET Core, C#, and React are all required. \n

• Full stack development experience with the ability to work across frontend and backend technologies. \n

• Strong understanding of software architecture, development patterns, testing, debugging, and code quality. \n

• Experience building APIs, backend services, and modern web applications. \n

• Ability to understand, evaluate, and improve code rather than relying solely on AI-generated solutions. \n

• Professional experience using AI-assisted or Agentic AI development tools. \n

• Strong communication and collaboration skills., * Comfortable working independently while contributing to a distributed engineering team.

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• Design, develop, test, and maintain production software across the full technology stack. \n

• Build new backend services and APIs as part of an ongoing technology modernization effort. \n

• Develop modern user experiences using React. \n

• Build scalable backend solutions using .NET Core and C#. \n

• Partner with the Principal Architect to turn architectural direction into practical, maintainable software solutions. \n

• Participate in technical design, code reviews, testing, debugging, and performance optimization. \n

• Help develop and maintain Microsoft Entra SSO environments. \n

• Incorporate Agentic AI and AI-assisted development tools into the software development lifecycle. \n

• Review and validate AI-generated code to ensure it meets standards for quality, security, scalability, and maintainability. \n

• Work with engineering teams in the U.S. and London to deliver new applications and platform capabilities. \n

• Contribute to cloud- development practices, including containerization and modern deployment strategies. \n

• Help improve development standards, engineering practices, and technical processes across the team. \n

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