Staff Software Engineer – DevOps, VCU-CCU Infotainment Systems

General Motors

. Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems .

Posted 10/7/2026full-timeUnited StatesLead💰 $189,300 - $290,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining technical strategy and architecture for CI/CD and DevOps, with a strong focus on optimizing embedded Linux build systems and automating release processes. Proven ability to lead cross-functional initiatives and mentor engineers in best practices for build engineering and infrastructure.

Highest-signal resume keywords

CI/CD Pipeline DesignEmbedded Linux Build SystemsJenkins, GitHub Actions, GitLab CIPython, Bash, Groovy ProgrammingObservability Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD Pipeline DesignEmbedded Linux Build SystemsPython ProgrammingBash ScriptingGroovy ProgrammingDockerKubernetesObservability ToolingBuild AutomationRelease Engineering

Soft Skills

MentoringCross-Functional LeadershipArchitectural ThinkingInfluencing ArchitectureContinuous Improvement

Tools & Technologies

JenkinsGitHub ActionsGitLab CIDockerKubernetesDatadogPrometheusGrafanaSonarQubeArtifactory

Industry Keywords

AutomotiveEmbedded SystemsInfotainmentLinux IVIQNXMLOpsAI/ML TechniquesComplianceSoftware QualityRelease Processes

Tech Stack

Tools & technologies

AndroidCloudDockerGrafanaGroovyJenkinsKubernetesLinuxPrometheusPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Define technical strategy and architecture for DevOps, CI/CD, and build platforms supporting VCU/CCU infotainment systems
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, 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 to reduce manual effort and accelerate engineering delivery
Improve developer workflows through GitHub automation, pull-request 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
Mentor engineers across DVE on CI/CD best practices, build engineering, and infrastructure patterns
Drive continuous improvement through code reviews, design guidance, process optimization, hiring, and team development
Partner with engineering, release management, quality, infrastructure, and program stakeholders to modernize software delivery

Requirements

What you’ll need

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
Experience leading large technical initiatives across multiple teams from design through production rollout
Experience designing and operating scalable CI/CD systems and developer platforms
Knowledge of Jenkins, GitHub Actions, GitLab CI, or similar build and automation tooling
Experience with embedded Linux build systems, cross-compilation environments, or complex platform build pipelines
Programming and scripting skills in Python, Bash, Groovy, or similar
Experience with Docker, Kubernetes, and at least one major cloud platform
Hands-on experience with observability tooling for metrics, logging, tracing, dashboards, and alerting
Strong architectural thinking across APIs, workflows, integrations, automation, and system reliability
Ability to mentor engineers, influence architecture, and drive execution in a matrixed organization
Preferred: experience in automotive, embedded systems, infotainment, Android Automotive, Linux IVI, QNX, or related domains
Preferred: experience with Yocto/OpenEmbedded and ARM-based embedded platforms
Preferred: experience with distributed build systems, remote build execution, or large-scale build caching
Preferred: familiarity with artifact repositories, static analysis, code quality, and security scanning tools
Preferred: experience building internal developer platforms, self-service tooling, or engineering productivity solutions
Preferred: knowledge of compliance, software quality, and release processes in regulated or safety-conscious environments
Preferred: experience with Datadog, Prometheus, Grafana, SonarQube, Artifactory, or similar tooling
Preferred: experience applying machine learning to DevOps workflows
Preferred: familiarity with AI-powered development tools, LLM-based code analysis, or automated root cause analysis systems
Preferred: knowledge of MLOps practices and experience deploying ML models in production CI/CD environments
Preferred: experience with TensorFlow, PyTorch, or scikit-learn

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company performance, job level, and individual performance
Company vehicle evaluation program, subject to successful motor vehicle report review
Relocation benefits for candidates who qualify under company policy
Hybrid work arrangement
Benefits and Total Rewards resources
Reasonable workplace accommodations