GM-posted 1 day ago
Full-time • Mid Level
Hybrid • Austin, TX
5,001-10,000 employees

At GM, our Vehicle Commerce team builds enterprise -grade platforms that power vehicle inventory, configuration, pricing, and sales systems. Our software delivers accurate, high-quality data and imagery to create seamless digital experiences across all GM brand sites. We’re looking for a Staff Software Engineer with strong technical chops and architectural vision to lead the development of scalable, high-performance backend APIs and services. This role blends hands-on coding with cross-functional technical leadership across data pipelines, microservices , and distributed systems. You’ll collaborate closely with product, QA, DevOps, and business teams to build innovative, cost-effective solutions that align with GM’s broader platform strategy.

  • Architect and evolve distributed systems with a focus on performance, scalability , and maintainability
  • Lead the development of backend APIs and services that power customer-facing digital platforms
  • Write clean, well-tested, secure code—and guide others to do the same through code reviews and mentorship
  • Build and optimize synchronous and asynchronous integrations (REST, GraphQL, Kafka, messaging queues)
  • Mentor engineers on architectural design, modern development patterns, and industry best practices
  • Evaluate and integrate emerging technologies to improve system capabilities and developer efficiency
  • Collaborate with cross-functional teams to align technical execution with business goals
  • Champion CI/CD, automated testing, observability, and system performance
  • Bachelor’s or Master’s in CS, Engineering, or related field (or equivalent experience)
  • 8+ years of experience building enterprise -grade backend platforms and services
  • Deep expertise in Java, Spring Boot, and scalable microservice architectures
  • Experience in generative AI using LLMs, MCP, and/or predictive maintenance.
  • Experience with distributed systems, event-driven architecture, and technologies like Apache Kafka
  • Hands-on experience with containerization (Docker, K8s/AKS) and Microsoft Azure
  • Familiarity with PostgreSQL, Redis, and cloud -native storage solutions
  • Track record of mentoring engineers and leading technical direction at scale
  • 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 .
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