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Full Stack .NET Developer

TechWishFremont, CA🇺🇸United StatesPosted 15 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Fremont, CA, United States
Posted
22 hours ago
DockerMySQLSQLSQL ServerAngularAzureC#.NETGitKafkaLLMRabbitMQReactRedisTypeScript

Job Description

Role: Full Stack .

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 directions

What We're Looking For

- 5+ years building production backend services in .NET/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 recite

Nice 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 Fluency

We'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 eng

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