Principal Engineer, Developer Productivity

General Motors is a leader in automotive innovation, aiming for a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking a Principal Engineer with a strong background in engineering and developer productivity to enhance the tools and services used by their engineers. The role involves improving observability systems, mentoring engineers, and driving software engineering best practices.

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

Requirements:

• 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 (eg. 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
• 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