Engineering Manager Observability

About the role

We are seeking an Engineering Manager with extensive experience in developer tools and technologies to lead the AV Observability team at GM. The role involves managing a team of engineers, defining and executing the technical vision for observability platforms, and ensuring comprehensive visibility across GM’s AV software stack.

Responsibilities

• Manage and grow a team of engineers, conducting performance reviews, providing coaching, and supporting career development.
• Define and execute the technical vision and roadmap for the observability platform, ensuring it provides actionable insights into complex systems.
• Provide technical guidance on instrumentation, logging, metrics, and tracing to ensure comprehensive visibility across GM’s AV software stack.
• Ensure the team's tools enable rapid detection, debugging, and resolution of unknown or unforeseen system failures to minimize downtime.
• Work with other engineering teams—such as those developing AI/ML, firmware, and infrastructure—to implement observability practices and improve system reliability.
• Lead the development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at a massive scale.
• Manage relationships and costs associated with third-party observability software and platforms.

Requirements

• 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teams.
• Deep understanding of core observability pillars: logs, metrics, and traces.
• Experience with technologies like Prometheus, Grafana, OpenTelemetry, and log management systems.
• Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservices.
• Familiarity with Go, Python, Typescript or similar programming languages and software development practices.
• Experience with cloud infrastructure such as GCP, AWS, or Azure, and technologies like CI/CD pipelines, Kubernetes, and Docker.
• Excellent interpersonal and communication skills to collaborate effectively with diverse teams and stakeholders.

Qualifications

• Relevant Technologies: GCP, Go, Python, Typescript, OpenTelemetry
• Experience working with GCP, AWS, or Azure
• Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs and observability pipelines (e.g. either for logging or metrics or tracing)
• Skilled in defining and instrumenting SLIs and SLOs
• Own or contribute to Open Source projects
• Passion for self-driving technology and its potential impact on the world

Skills & Abilities

• Management experience
• Observability expertise
• Software architecture
• Programming proficiency
• Cloud infrastructure
• Communication skills

Benefits

• Compensation: $218,800 - $335,300
• Bonus Potential: An incentive pay program based on company performance, job level, and individual performance
• Benefits: Medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts

Company Vehicle

• Eligible for company vehicle evaluation program upon successful completion of a motor vehicle report review.

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds, and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Equal Opportunity Employer

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.