.Net fullstack Developer

Position: Full stack - .NETLocation: Fremont, CAMode of Interview: Face to FaceSkills : Full stack - .NET (C#), (Python, or Go is also OK, but willingness to work primarily in C#)React + TypeScript workspaceJob Description**Team:** HR Operations & Systems**Level:** Mid-level (5–10 years)About the TeamHR Operations & Systems provides the internal platforms that power HR and payroll operations teams — enabling them to run cycles, investigate discrepancies, and satisfy audit and compliance obligations. We build the tooling that a real, named group of people opens every morning — short feedback loops, high correctness bar, and no ambiguity about whether the thing we shipped helped.You'll work across the whole stack: a .NET service layer backing a React + TypeScript workspace, sitting on top of MySQL and SQL Server.What You'll Do- Build and ship features end to end — schema and migration, API, and UI — rather than throwing work over a wall- Design RESTful APIs in .NET (C#) following our controller → service → repository layering, with dependency injection throughout- Build data-dense React interfaces in TypeScript: AG-Grid views, TDS components, Jotai and React Query for state and server data- Work on audit workflows, findings triage, and security group management — features with compliance consequences, where "mostly right" isn't right- Write unit and integration tests alongside the code (see test/ — unit and integration suites are part of the definition of done, not a follow-up ticket)- Participate in code review, both directionsWhat We're Looking ForRequired- 5+ years building production backend services in .NET/C#, Python, or Go — with a willingness to work primarily in C#- Working React and TypeScript experience; comfortable owning a feature's UI, not just its API- Solid SQL: you can design a table, read an execution plan, and explain why a query got slow- Testing habits and comfort with Git-based review workflows- CS fundamentals — data structures and algorithms you can actually reason about, not reciteNice to Have- HR, operations, finance, or compliance domain experience; or a background in enterprise/B2B internal tooling- Messaging (RabbitMQ, Kafka) or caching (Redis) in production- Docker, CI/CD pipeline ownership- ORM depth — EF Core, Dapper, or equivalent- Angular (a secondary framework in our stack)AI FluencyWe're actively building AI into the workspace. Any of the following is a meaningful plus:- Integrating LLM APIs (Azure OpenAI, Claude, or similar) into production backend services- RAG pipelines, vector databases, or structured prompt engineering- Shipping AI-assisted features in an enterprise app