Engineering Manager – DevOps, General Motors

Engineering Manager - DevOps, General Motors

Company General Motors
Job title Engineering Manager, DevOps
Job location Austin, Texas/Mountain View, California/Warren, Michigan
Type Full Time

Responsibilities:

  • Team Leadership & Strategy
    •  Lead, mentor, and develop a high-performing team focused on DevOps, observability, and system reliability.
    • Establish team priorities that align with organizational objectives, ensuring a scalable and efficient infrastructure.
    • Set and evolve the technical vision and roadmap, integrating best practices in monitoring, logging, and alerting.
  • Technical Execution & Oversight
    • Design, implement, and optimize observability solutions, including metrics, tracing, logging, and alerting, to enhance system reliability.
    • Define and maintain scalable monitoring systems that proactively detect and prevent system failures.
    • Oversee CI/CD pipelines, ensuring smooth deployments and minimizing downtime.
    • Review system architecture and development code, ensuring efficiency, testability, and adherence to best practices.
  • Collaboration & Process Improvement
    • Work closely with Product Managers, Engineers, and cross-functional teams to ensure seamless integration of observability practices.
    • Define incident response strategies, improving recovery time and overall platform stability.
    • Identify and integrate new technologies to enhance observability, performance monitoring, and automation.

Requirements & Skills:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 5+ years of experience in DevOps or SRE engineering roles.
  • 2+ years of experience in engineering management.
  • Expertise in observability, monitoring, and logging solutions (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
  • Strong knowledge of cloud platforms and tools.
  • Experience with CI/CD automation and configuration management tools.
  • Proficiency in containerization and orchestration (Docker, Kubernetes).
  • Strong understanding of system reliability, incident response, and performance optimization.
  • Experience implementing scalable monitoring, alerting, and logging strategies to ensure system health and reliability.
  • Excellent leadership, communication, and stakeholder management skills, with the ability to collaborate across teams.

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