Job DescriptionAbout UsThe AV Developer Productivity organization is responsible for delivering and maintaining the tools and services engineers here at GM use every day to do their best work and drive our autonomous vehicle program forward. Tools and services we work on enhancing the entire development process of engineers at GM how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others here have world class tools and a seamless development experience so that they can focus on the problems that matter most in their domain.The RoleWe are looking for an Engineering Manager with an extensive engineering background, experience using a variety of developer tools and technologies, and who is passionate about developer productivity. As a leader on this team, we are looking for someone who cares deeply about the technical development of other engineers on the team and is able to effectively balance the needs and priorities of the business, our users, and the growth of our engineers. This person will start delivering impact through observability frameworks and will evolve depending on business needs but they will be expected to identify high ROI investments with minimal guidance.The TeamAs a part of AV Developer Productivity, the AV Observability team is responsible for creating and maintaining a robust, reliable, and cohesive observability offering for AV developers and leaders across GM to optimize internal and external system performance and reliability. We achieve this through a combination of internally developed tools, vendor tools, and agentic AI workflows.What Youll Do Team leadership: Manage and grow a team of engineers, conducting performance reviews, providing coaching, and supporting career development.Technical strategy: Define and execute the technical vision and roadmap for the observability platform, ensuring it provides actionable insights into complex systems.Architectural oversight: Provide technical guidance on instrumentation, logging, metrics, and tracing to ensure comprehensive visibility across GMs AV software (link removed)cident response: Ensure the team's tools enable rapid detection, debugging, and resolution of unknown or unforeseen system failures to minimize downtime.Cross-functional collaboration: Work with other engineering teamssuch as those developing AI/ML, firmware, and infrastructureto implement observability practices and improve system reliability.Platform development: Lead the development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at a massive scale.Vendor management: Manage relationships and costs associated with third-party observability software and platforms.Your Skills & Abilities (Required Qualifications)Management experience: 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teamsObservability expertise: Deep understanding of core observability pillars: logs, metrics, and traces. Experience with technologies like Prometheus, Grafana, OpenTelemetry, and log management systems is crucialSoftware architecture: Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservicesProgramming proficiency: Familiarity with Go, Python, Typescript or similar along with software development practices to inform code reviews and architectural decisionsCloud infrastructure: Experience with modern cloud offerings like GCP, AWS, or Azure and technologies like CI/CD pipelines, Kubernetes, and DockerCommunication skills: Excellent interpersonal and communication skills to collaborate effectively with diverse teams and stakeholdersRelevant Technologies: GCP, Go, Python, Typescript, OpenTelemetryWhat Will Give You a Competitive Edge (Preferred Qualifications)Experience working with GCP, AWS, or AzureFamiliarity 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 SLOsOwn or contribute to Open Source projectsPassion for self-driving technology and its potential impact on the worldCompensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.The salary range for this role: is$218,800- $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.Benefits: 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 (link removed)pany 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.