Drimva

General Motors

Software Engineering Manager

Austin, Texas, United States of America +1 · Hybrid · Manager · Full-time · Posted Sep 18, 2026

Location
Austin, Texas, United States of America
Warren, Michigan, United States of America
Experience
Minimum of 10 years of development experience; 5+ years of leadership experience, including developing teams.
Education
Bachelor’s degree in computer science, engineering, information systems, or equivalent practical experience.
Visa sponsorship
GM does not provide immigration-related sponsorship for this role, now or in the future.

About the job

Leads software teams building and operating GM Loyalty web platforms, setting technical direction and delivering reliable earn-and-redeem experiences.

What you'll do

  • Set team priorities, roadmaps, delivery plans, and measurable outcomes; manage project scope, risks, dependencies, and blockers.
  • Hire, coach, mentor, and develop engineers while providing technical leadership on architecture, quality, security, and scalable engineering practices.
  • Oversee platform reliability, integration, production support, incident resolution, performance tuning, and AI adoption and automation.

What they ask for

  • Bachelor’s degree in computer science, engineering, information systems, or equivalent practical experience.
  • Minimum of 10 years of development experience and 5+ years of leadership experience, including developing teams.
  • Strong knowledge of web development, APIs, cloud technologies, messaging middleware, and proficiency in database technologies and SQL.
  • Strong cross-functional collaboration and communication skills.

Nice to have

  • Customer and Loyalty domain expertise; enterprise cloud migration or modernization experience; experience with Salesforce.
  • Hands-on experience using AI technologies to improve productivity.

Tools

.Net Core, Spring boot, Angular, React, Microservices, REST based APIs, Azure, PostgreSQL

AI focus

Lead AI adoption and automation technologies; preferred hands-on use of AI to improve productivity.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)