Staff Software Engineer
Role details
Job location
Tech stack
Job description
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to their primary GM location (Austin, TX or Warren, MI) three times per week, at minimum.
The Role
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.
What You'll Do:
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Architect and evolve distributed systems with a focus on performance, scalability , and maintainability
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Lead the strategy and implementation of automation across a broad technical areas, integrating work across multiple teams, and stakeholders to eliminate manual processes, improve reliability, and establish scalable operational mechanisms with measurable KPI impact aligned to business priorities
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Drive modernization of legacy platforms by influencing key technical decisions, championing change across dependent teams, and delivering solutions that improve scalability, maintainability, and long-term operational efficiency across multiple departments
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Lead the development of backend APIs and services that power customer-facing digital platforms
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Write clean, well-tested, secure code-and guide others to do the same through code reviews and mentorship
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Build and optimize synchronous and asynchronous integrations (REST, GraphQL, Kafka, messaging queues)
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Mentor engineers on architectural design, modern development patterns, and industry best practices
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Evaluate and integrate emerging technologies to improve system capabilities and developer efficiency
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Collaborate with cross-functional teams to align technical execution with business goals
Requirements
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Bachelor's or Master's in CS, Engineering, or related field (or equivalent experience)
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8+ years of experience building enterprise -grade backend platforms and services
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Deep expertise in Java, Spring Boot, and scalable microservice architectures
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Experience in generative AI using LLMs, MCP, and/or predictive maintenance.
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Experience with distributed systems, event-driven architecture, and technologies like Apache Kafka
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Hands-on experience with containerization (Docker, K8s/AKS) and Microsoft Azure
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Familiarity with PostgreSQL, Redis, and cloud -native storage solutions
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Track record of mentoring engineers and lead