This role combines deep technical execution with cross-functional leadership. You will drive the architecture, implementation, and operational excellence of the build, test, release, and developer productivity ecosystem that enables reliable software delivery at scale. In line with GM's staff-level engineering expectations, this role requires end-to-end ownership, strong architectural judgment, and the ability to influence technical direction across teams without direct authority. 

You will partner closely with engineering, release management, quality, infrastructure, and program stakeholders to modernize CI/CD, improve developer velocity, strengthen observability, and raise the quality and reliability bar for infotainment software delivery. 

What You'll Do 

• Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems across multiple vehicle programs 

• Design and optimize scalable CI/CD pipelines for embedded Linux (Yocto) builds, including build orchestration, test automation, artifact management, and release workflows 

• Improve build performance and reliability through distributed build systems (BuildBarn/RBE), caching strategies, and infrastructure optimization 

• Automate release processes including branching strategy, versioning, artifact promotion, quality gates, and compliance checks 

• Build self-service platforms, tooling, and dashboards that reduce manual effort and accelerate delivery for engineering teams 

• Improve developer workflows through GitHub automation, PR validation, smoke testing, and streamlined feedback loops 

• Establish end-to-end observability and operational excellence using metrics, logs, dashboards, alerting, incident response, and root cause analysis 

• Leverage AI/ML techniques for predictive build failures, intelligent test selection, resource optimization, anomaly detection, and proactive incident prevention 

• Lead cross-functional initiatives from concept to production, including architecture reviews, technical design discussions, and communicating trade-offs to stakeholders 

• Mentor engineers across DVE on CI/CD best practices, build engineering, and infrastructure patterns 

• Drive continuous improvement through code reviews, design guidance, process optimization, and participation in hiring and team development 

Your Skills & Abilities (Required Qualifications) 

• Bachelor's degree in computer science, Software Engineering, Electrical Engineering, or related field, or equivalent practical experience. 

• 10+ years of experience in software engineering, DevOps, build engineering, platform engineering, or release engineering roles aligned with staff-level scope at GM.

• Proven experience leading large technical initiatives across multiple teams from design through production rollout.

• Strong experience designing andoperatingscalable CI/CD systems and developer platforms.

• Deep knowledge of build and automation tooling such as Jenkins, GitHub Actions, GitLab CI, or similar.

• Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines.

• Strong programming and scripting skills in languages such as Python, Bash, Groovy, or similar.

• Experience with cloud and container technologies such as Docker, Kubernetes, and at least one major cloud platform.

• Hands-on experience with observability tooling for metrics, logging, tracing, dashboards, and alerting; GM staff roles explicitly emphasize observability and operational excellence for production-critical systems.

• Strong architectural thinking across APIs, workflows, integrations, automation, and system reliability.

• Demonstrated ability to mentor engineers, influence architecture, and drive execution in a matrixed organization.

What Will Give You a Competitive Edge (Preferred 

Qualifications) 

• Experience in automotive, embedded systems, infotainment, Android Automotive, Linux IVI, QNX, or related domains. 

• Experience with Yocto / OpenEmbedded and ARM-based embedded platforms. 

• Experience with distributed build systems, remote build execution, or large-scale build caching. 

• Familiarity with artifact repositories, static analysis, code quality, and security scanning tools. 

• Experience building internal developer platforms, self-service tooling, or engineering productivity solutions; this is strongly aligned with recent GM staff platform roles. 

• Knowledge of compliance, software quality, and release processes in regulated or safety-conscious environments. 

• Experience with Datadog, Prometheus, Grafana, SonarQube, Artifactory, or similar tooling. 

• Prior experience working across large-scale programs with multiple repositories, teams, and release trains.

• Experience applying machine learning to DevOps workflows such as predictive build failure analysis, intelligent test selection, or resource optimization

• Familiarity with AI-powered development tools, LLM-based code analysis, or automated root cause analysis systems

• Knowledge ofMLOpspractices and experience deploying ML models in production CI/CD environments

• Experience with AI/ML frameworks (TensorFlow,PyTorch, scikit-learn) for building custom DevOps automation solutions