[Remote] Engineering Manager Observability
Note: The job is a remote job and is open to candidates in USA. General Motors is seeking an Engineering Manager for their AV Developer Productivity organization, focused on enhancing tools for engineers involved in their autonomous vehicle program. The role involves team leadership, defining technical strategies, and ensuring system reliability through observability practices.
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
Skills
- Management experience: 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teams
- Observability expertise: Deep understanding of core observability pillars: logs, metrics, and traces. Experience with technologies like Prometheus, Grafana, OpenTelemetry, and log management systems is crucial
- Software architecture: Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservices
- Programming proficiency: Familiarity with Go, Python, Typescript or similar along with software development practices to inform code reviews and architectural decisions
- Cloud infrastructure: Experience with modern cloud offerings like GCP, AWS, or Azure and technologies like CI/CD pipelines, Kubernetes, and Docker
- Communication skills: Excellent interpersonal and communication skills to collaborate effectively with diverse teams and stakeholders
- 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
Benefits
- Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
- GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.
- Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
- This job may be eligible for relocation benefits.
Company Overview
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