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General Motors Logo General Motors · IT - Software Development

Senior Software Engineer (.NET)

United States, Austin · Job Posted June 14, 2026
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Job 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.

Job Responsibility

  • 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

Requirements

  • 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
  • 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

Nice to have

  • 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
  • Knowledge of HR/Workday business processes is highly preferred
  • 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
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