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General Motors

Senior Software Engineer (.Net) - HRIS

Sorry, this job was removed at 07:32 p.m. (PST) on Wednesday, Sep 16, 2026
Hybrid
Austin, TX
Senior level
Hybrid
Austin, TX
Senior level

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Description
The Role:
We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you will lead the design, development, testing, and maintenance of high-performance, scalable, and secure software systems. The ideal candidate will also have hands-on experience with AI agentic workflows, LLM-based automation, retrieval-augmented generation, and intelligent workflow orchestration . You will collaborate with cross-functional teams to deliver innovative solutions that support Human Resources, Communications, and Physical Security IT business applications.
What You'll Do:
  • Lead the design, development, and maintenance of full stack solutions using .NET technologies
  • Translate business requirements into effective, scalable, and reliable technical solutions
  • Build AI-powered agents that retrieve context, reason across multiple data sources, recommend actions, and support human-in-the-loop automation
  • Participate in sprint planning, refine stories, and provide accurate estimations for development timeline
  • Deliver clean, maintainable code aligned with best practices and modern design patterns
  • Develop and execute unit test cases with high code coverage
  • Mentor and coach Junior engineers, conduct code and design reviews
  • Troubleshoot complex issues, perform root cause analysis, and implement long-term fixes
  • Support CI/CD workflows and ensure continuous improvement in build and release process
  • Model and foster GM's core values and behaviors

What You'll Need:
  • 8+ years of professional experience in software development with a focus on .NET Core
  • Minimum 3+ years of experience in leading the software engineering team
  • Knowledge of HR/Workday business processes
  • Proven expertise in deploying modern design patterns and building scalable, reusable code
  • Experience building AI/LLM-based applications, preferably with agentic workflows
  • Strong understanding of RAG architecture, embeddings , vector search , prompt design, context retrieval and LLM evaluation
  • Experience with Model Context Protocol ( MCP ) for integrating AI agents with tools, data sources, and enterprise systems
  • Experience with queuing and background jobs orchestration with .Net hosted services
  • Experience with Azure Infrastructure to deploy, configure and troubleshooting ( IaC pipelines, Site Reliability Engineering, DevOps )
  • Ability to develop and deploy microservices on AKS
  • Strong proficiency in Angular for front-end development
  • Experience in building and scaling backend services across hybrid environments (on prem and cloud)
  • Ability to configure docker files for containerization.
  • Maintain ETL pipelines using Azure Synapse to ingest and deliver data to downstream systems.
  • Hands-on experience with RESTful API design and integration services that connect enterprise systems like Workday, Microsoft identity services (Azure AD/ Entra ID, Microsoft Graph )
  • Experience with relational databases such as PostgreSQL and SQL Server, including stored procedures
  • Proficiency in version control systems (Git) and maintain CI/CD pipelines using GitHub actions
  • Experience with Agile methodologies and tools such as Jira and Confluence
  • Excellent problem-solving skills, with an ability to work on complex distributed systems

Preferred Skills:
  • Experience with AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar Orchestration frameworks
  • Familiarity with AI governance, model risk, hallucination mitigation, guardrails, evaluation metrics, and human approval workflows
  • Experience with containerization and orchestration tools (Docker, Kubernetes)
  • 3+ years with Azure Kubernetes Service (AKS) application development
  • Knowledge of .NET framework upgrades and modernization strategies
  • Experience with GitHub actions and CI/CD automation
  • Strong background in Monitoring and Observability practices
  • Experience in Azure Databricks, Data Mesh architecture

This job may be eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

General Motors Mountain View, California, USA Office

General Motors Mountain View Tech Center Office

Opened in 2024, our Mountain View facility serves as a hub for research and innovation in Silicon Valley. Designers, engineers, and staff at this state-of-the-art campus support the advancement of General Motors’ product portfolio through software development, engineering and design.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

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  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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