General Motors
Senior Cybersecurity Engineer - GRC Engineering & Technical Controls
Warren, Michigan, United States of America · Hybrid · Senior · Full-time · Posted Oct 14, 2026
- Experience
- Minimum of 7 years of progressive experience.
- Education
- Bachelor’s degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline (or equivalent practical experience).
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need GM immigration sponsorship now or in the future should not apply.
About the job
Designs and operates engineering-driven GRC capabilities that automate compliance, validate cybersecurity controls, and translate regulatory requirements into technical safeguards across enterprise, cloud, vehicle, and operational technology environments.
What you'll do
- Build integrations, data pipelines, and automated workflows for evidence collection, control testing, and continuous control monitoring.
- Develop AI-enabled GRC workflows, Policy-as-Code guardrails, and automated compliance decision support.
- Translate regulations into technical controls, maintain framework mappings, validate controls, and administer GRC platform workflows and dashboards.
What they ask for
- Bachelor’s degree in a related technical discipline or equivalent practical experience.
- At least 7 years of progressive experience in a technical security environment, focused on GRC engineering, security engineering, IT compliance, or DevSecOps.
- Hands-on programming experience with Python, Go, PowerShell, or Bash; knowledge of Git workflows, CI/CD, and cloud infrastructure (AWS, Azure, or GCP).
- Practical security-framework knowledge and experience translating requirements into technical controls; at least one active recognized risk, audit, or security engineering certification (e.g., CISSP, CRISC, CISA, or CGRC).
Nice to have
- Experience building machine-readable compliance, automated control testing, policy-engine integrations, or continuous assurance programs.
- Experience with automated guardrails, evidence collection, configuration-drift detection, specialized automotive or privacy frameworks, or advanced GRC platform customization.
Tools
Python, Go, PowerShell, Bash, Git, CI/CD, AWS, Azure
AI focus
Develop AI-driven GRC workflows and agentic capabilities, integrating AI agents and LLM-powered pipelines to automate risk assessments, control validation, evidence classification, policy parsing, compliance scorecards, and remediation recommendations.
Model-written summary · the original posting is authoritative