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Principal Engineer, Developer ProductivityGeneral Motors • New York, New York, United States
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Principal Engineer, Developer Productivity

General Motors
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

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 a Principal Engineer 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 can effectively balance the needs and priorities of the business, our users, and the growth of our engineers.
This engineer 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)
Using your software and systems engineering skills to contribute code, perform code reviews, and create technical designs that improve performance and reliability of observability systems.
Proactively identify and address challenges that create new opportunities to improve the state of engineering through observability.
Partnering with Software Engineering teams to better understand use-cases and guide the engineers to use the existing tools effectively.
Building tools to enable engineers to collect and act on observability signals from distributed cloud systems and on-vehicle sensors.
Influence the team’s technical roadmap by evaluating new tools and technologies through PoCs and selecting roadmap investments that align with our team vision.
Drive software engineering best practices both within your team and across the AV organization, and create tooling which encourages these.
Guide the team to find the right balance between delivering impact and addressing technical debt.
Mentor and grow engineers on the team and across the organization.
Minimum Qualifications (Must-Have)
7+ years of experience or proven record of defining and executing technical strategy that required coordination across multiple teams, senior executives, and front-line engineers.
Bachelors Degree in Computer Science or related field OR equivalent work experience.
Experience driving consensus on a multi-functional effort using influence without authority.
Experience in designing and implementing large scale systems.
Considerable experience in working with container orchestration systems (e.g., Kubernetes).
Proficient in designing and developing sophisticated distributed systems, with expertise in one or more high-level programming languages such as Go, Python, Rust, C/C++, NodeJS or equivalent.
Considerable experience with Unix/Linux, SSH, and networking fundamentals.
Effective collaboration skills and experience researching, documenting, communicating, and defending proposals and taking and giving critical feedback.
Experience mentoring and growing junior engineers.
Preferred Qualifications (Nice-to-Have)
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.
Compensation 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 $280,000 to $385,000. 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 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.
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  • New York, New York, United States

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  • English
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