Drimva

General Motors

Senior Software Engineer – Microservices Architecture

Austin, Texas, United States of America +1 · Hybrid · Senior · Full-time · Posted Oct 15, 2026

Location
Austin, Texas, United States of America
Warren, Michigan, United States of America
Experience
5+ years of software engineering experience.
Education
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Visa sponsorship
GM does not provide immigration-related sponsorship for this role, now or in the future; the posting includes direct sponsorship and work authorization requiring company immigration support.

About the job

Designs and operates secure, scalable microservices and integration services that support GM mobile ownership experiences and connect apps with enterprise systems.

What you'll do

  • Develop and maintain Java/Spring Boot microservices, APIs, and event-driven integrations.
  • Deploy and operate cloud services, improve CI/CD and observability, and strengthen service reliability.
  • Apply AI-enabled engineering practices, collaborate across teams, and mentor engineers.

What they ask for

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Hands-on software engineering experience with Java and Spring Boot, plus experience designing microservices and RESTful APIs.
  • Experience with cloud platforms, DevOps and CI/CD, TDD and automated testing, and SQL databases such as Oracle or PostgreSQL.
  • Strong communication, collaboration, and problem-solving skills.

Nice to have

  • Experience with GraphQL, WebSockets, event-driven architecture, or NoSQL technologies.
  • Experience with Azure services, observability tools, cloud-native deployment, AI-assisted tools, or additional languages such as NodeJS, Typescript, Javascript, or Go.

Tools

Java, Spring Boot, Azure, AKS, Azure DevOps, JUnit, Mockito, PostgreSQL

AI focus

Use AI-enabled engineering practices to improve developer productivity, code quality, operational insight, anomaly detection, incident triage, and capacity awareness.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)