Base: $180,000 to $235,000; bonus/equity: incentiv...
Fully remote
Observability frameworks expertise
Distributed systems architecture
Cloud infrastructure experience
The AI Cloud and Developer Infrastructure organization delivers tools and services to enhance the development process for engineers at GM, ensuring a seamless experience for AV engineers and others
Job Summary
The AI Cloud and Developer Infrastructure organization delivers tools and services to enhance the development process for engineers at GM, ensuring a seamless experience for AV engineers and others.
This role requires leadership in scaling engineering culture, driving collaboration under pressure, and delivering high-quality solutions autonomously while managing complex roadmaps and stakeholder alignment.
GM offers comprehensive benefits including health programs, tuition assistance, employee discounts, and a company vehicle evaluation program, supporting employee well-being and career growth.
Matching Summary
The AI Cloud and Developer Infrastructure organization delivers tools and services to enhance the development process for engineers at GM, ensuring a seamless experience for AV engineers and others.
Salary
Base: $180,000 to $235,000; Bonus/Equity: Incentive pay based on performance; Benefits: Medical, dental, vision, retirement, paid vacation, tuition assistance, and more
Skills & Requirements
Must-have
Observability frameworks expertise
Distributed systems architecture
Cloud infrastructure experience
Developer productivity tools
Leadership in software engineering
Programming in Go, Python, Typescript
CI/CD pipelines and Kubernetes
Nice-to-have
Open Source project contributions
Defining SLIs and SLOs
Experience with Istio and Terraform
Passion for self-driving technology
Mentoring and coaching engineers
Conflict resolution and crisis management
Executive communication skills
Key Requirements
5+ years leadership experience in software or SRE teams
Bachelor’s degree in Computer Science or equivalent
Deep understanding of observability pillars
Experience with cloud platforms like GCP, AWS, or Azure