Lead Full Stack .NET Developer

Role: Lead Full Stack .NET Developer, * Hands-on coding (about 75% of the time) - full-stack work in .NET/C# on the back end and TypeScript/React/Angular on the front end

• Using AI coding tools (Claude Code, OpenCode, Copilot) to build, then reviewing and fixing what the AI produces
• Architecture and design (about 25%) - shaping how apps get migrated to the cloud and how new builds are put together
• Moving legacy apps from on-prem to cloud, and rebuilding parts of them as cloud-native
• Guiding other developers, both FTEs and onshore/offshore contractors, on technical direction and best practices
• Working with BAs to turn requirements into solutions
• Running 2-week sprints in Agile
• Presenting solutions at the weekly review with Bryan
• Supporting and improving the ~10 apps they own, including integrations with Anthology, Canvas, Core LMS and Salesforce

Microsoft .NET, Microsoft .NET, Consulting, Microsoft C# (C Sharp), User Interface/Experience (UI/UX), Microservices, Microsoft SQL Server, Business Analysis, Microsoft Windows Azure, Artificial Intelligence (AI), * 7-8 years total experience - C#/.NET Core (versions 8-10)

• True full stack - front end and back end equally strong; candidates who are all BE or all FE are a no
• Microservices, SQL Server, business analyst partnership
• Cloud-native experience required - no cloud-native experience is a hard no (Azure preferred; still confirming if Azure specifically is required)
• Containers as primary deployment model
• React preferred; significant legacy Angular in the environment - strong Angular devs are acceptable, HM believes they’ll transition to React (Flutter nice-to-have)
• Hands-on experience using AI coding tools - they run Claude Code and OpenCode today; Copilot also counts; goal is using AI tools, not building AI apps
• Must be smarter than the tool - knows when the AI got it wrong and course-corrects; produces with it and analyzes/fixes the output. HM tests this by going project by project: what tools were used, how the candidate judged the limits of the AI output, and what the app’s features are
• Technical leadership in design, architecture, implementation, and deployment across both on-prem and cloud-native environments
• Adaptability