FullStack Developer

Title: FullStack Developer

Location: Fremont, CA Onsite Need Local
Duration: 6+ Months Contract

MOI: Onsite

Need LinkedIn

• Not more than. 13 years only two pages Resume
• Codility test
• Video Screening, then will decide on RTR confirmation.
• Please share the genuine hands on candidate with good companies background

Required Skills:

.Net, C#, React, MQ SQL OR PostGres

Fintech, payroll background is ideal

AI is plus, Golang, python is plus

About the Team

HR 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 directions

What We're Looking For

Required

• 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 recite
• 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 engineering
• Shipping AI-assisted features in an enterprise app