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Engineering Manager, Observability - Full-time

General Motors

Lansing · Hybrid Full-time Lead $200k – $285k/yr Yesterday

About the role

Remote Work Requirement

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.

The selected candidate will be required to travel < 25 % for this role and may be eligible for relocation benefits.


About Us

The AI Cloud and Developer Infrastructure organization is responsible for delivering and maintaining the tools and services engineers at GM use every day to do their best work and drive our cars forward. We enhance the entire development process—how/where code is checked out, modified, compiled, tested, merged, and eventually deployed. Our goal is to ensure our AV engineers and others have world‑class tools and a seamless development experience so 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 a passion for developer productivity. As a leader on this team, you will care deeply about the technical development of engineers on and off the team and balance the needs and priorities of the business, our users, and the growth of our engineers.

You will start delivering impact through observability frameworks and will evolve depending on business needs, identifying high‑ROI investments with minimal guidance.


What You’ll Do (Responsibilities)

  • Team leadership: Manage and grow a team of engineers, conduct performance reviews, provide coaching, and support 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 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 massive scale.
  • Vendor management: Manage relationships and costs associated with third‑party observability software and platforms.

Minimum Qualifications (Must‑Have)

  • Leadership experience: 5+ years leading software or site reliability engineering (SRE) teams, balancing velocity and reliability.
  • Bachelor’s degree in Computer Science or related field, or equivalent work experience.
  • Observability expertise: Deep understanding of logs, metrics, and traces; experience with Prometheus, Grafana, OpenTelemetry, and log management systems.
  • Software architecture: Strong background designing, developing, and architecting distributed systems, cloud‑native applications, and microservices.
  • Programming proficiency: Familiarity with Go, Python, TypeScript or similar, and software development practices for code reviews and architectural decisions.
  • Cloud infrastructure: Experience with GCP, AWS, or Azure and technologies such as CI/CD pipelines, Kubernetes, and Docker.
  • Communication skills: Excellent interpersonal and communication abilities to collaborate effectively with diverse teams and stakeholders.

Preferred Qualifications (Nice‑to‑Have)

  • Management experience: 3+ years managing software engineering or SRE teams.
  • Experience working with GCP, AWS, or Azure.
  • Familiarity with Kubernetes, Docker, Istio, Terraform, Prometheus, Grafana, TSDBs, and observability pipelines (logging, metrics, or tracing).
  • Skilled in defining and instrumenting SLIs and SLOs.
  • Ownership or contribution to open‑source projects.
  • Passion for self‑driving technology and its potential impact on the world.

Compensation

  • Salary range: $200,000 – $285,000 (actual base salary will vary based on factors relevant to the position).
  • Bonus potential: 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, 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, receiving a GM vehicle to drive and evaluate. Participants are required to purchase/lease a qualifying GM vehicle every four years unless an exception applies.


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.


Why Join Us

We believe every day we must make a choice—individually and collectively—to drive meaningful change through our words, deeds, and culture. We want every employee to feel they belong to one General Motors team.


Benefits Overview

From day one, we look out for your well‑being—at work and at home—so you can focus on realizing your ambitions. Learn how GM supports a rewarding career by visiting the Total Rewards resources: https://search-careers.gm.com/en/working-at-gm/total-rewards.


Non‑Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to a workplace free of unlawful discrimination and one that genuinely fosters inclusion and belonging. Employment decisions are made without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, veteran status, or any other protected status in accordance with federal, state, and local laws.

Applicants may be required to complete role‑related assessments and/or pre‑employment screening. For more information, see How We Hire: https://search-careers.gm.com/en/how-we-hire.


Accommodations

General Motors offers opportunities to all job seekers, including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application, email Careers.Accommodations@GM.com or call 1‑800‑865‑7580. Include a description of the accommodation, the job title, and the requisition number.


Additional Resources

Explore our diverse team’s passion for engineering, technology, and design as we deliver on our vision of a world with Zero Crashes, Zero Emissions, and Zero Congestion. Join us to help lead the change that will make our world better, safer, and more equitable for all.

Requirements

  • 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
  • Deep understanding of core observability pillars: logs, metrics, and traces.
  • Strong background in designing, developing, and architecting distributed systems, cloud-native applications, and microservices
  • Familiarity with Go, Python, Typescript or similar along with software development practices to inform code reviews and architectural decisions
  • Experience with modern cloud offerings like 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

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.

Benefits

medicaldentalvisionHealth Savings AccountFlexible Spending Accountsretirement savings plansickness and accident benefitslife insurancepaid vacationholidaystuition assistance programsemployee assistance programGM vehicle discounts

Skills

AWSCI/CDDockerGCPGoGrafanaIstioKubernetesOpenTelemetryPrometheusPythonTerraformTSDBsTypescript

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