Engineering Manager, Observability

Job Description

This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Warren, Milford, Mountain View or Sunnyvale], you are expected to report to that location three times a week, at minimum.

About Us 

The AI Cloud and Developer Infrastructure 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 cars 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 Role 

We are looking for an Engineering Manager with a deep technical background, experience building and running engineering teams, 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 engineers on and off the team and can effectively balance the needs and priorities of the business, our users, and the growth of our engineers. 

This leader 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. 

What You’ll Do (Responsibilities) 

• 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 GM’s AV software stack. 

• Incident 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 teams—such as those developing AI/ML, firmware, and infrastructure—to 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.  

Minimum Qualifications (Must-Have) 

• Leadership experience: 5+ years of experience leading software or site reliability engineering (SRE) teams and balancing the tradeoff between velocity and reliability  

• Bachelors Degree in Computer Science or related field or equivalent work experience 

• 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 architectu