Engineering Manager, Developer Experience

Jobtailor; California (MO); On-site; USD 180,000 - 250,000; Full time

Job summary

General Motors is seeking a senior leader to manage and grow the observability engineering team, shaping the technical vision for a scalable telemetry platform powering autonomous vehicle software.

You will drive performance reviews, career development, and cross-team collaboration to ensure reliable, observable systems and data pipelines at massive scale.

Qualifications

• 7+ years of leadership experience managing software or SRE teams.
• Deep understanding of software engineering and/or ML engineering workflows.
• Track record of delivering solutions that improved developer workflows.
• Strong background designing, developing, and architecting distributed systems, cloud-native apps, and microservices.
• Familiarity with Go, Python, TypeScript, or similar languages.
• Knowledge of software development practices for code reviews and architectural decisions.
• Experience with cloud offerings such as GCP, AWS, or Azure.
• Experience with CI/CD pipelines, Kubernetes, and Docker.
• Excellent interpersonal and communication skills.
• Preferred: Istio and Terraform familiarity.
• Preferred: Open Source ownership or contribution.
• Passion for autonomous driving technology and its impact.

Responsibilities

• Manage and grow a team of engineers
• Conduct performance reviews, provide coaching, and support career development
• Define and execute the technical vision and roadmap for the observability platform
• Ensure the observability platform provides actionable insights into complex systems
• Provide technical guidance on instrumentation, logging, metrics, and tracing across GM’s AV software stack
• Enable rapid detection, debugging, and resolution of unknown or unforeseen system failures
• Collaborate with AI/ML, firmware, infrastructure, and other teams to improve reliability
• Lead development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at scale
• Manage relationships and costs with third-party observability software and platforms
• Identify high-ROI investments with minimal guidance
• Deliver impact through foundational tools used by 1,500 engineers and evolve offerings to meet business needs

Skills

Leadership Experience

Distributed Systems Design

Cloud-Native Applications

CI/CD Pipelines

Observability Platform Management

Go

Python

Typescript

Kubernetes

Docker

SLIs & SLOs

Open Source

Tools

Kubernetes

Docker

GCP

AWS

Azure

Terraform

Istio

Job description

• Manage and grow a team of engineers
• Conduct performance reviews, provide coaching, and support career development
• Define and execute the technical vision and roadmap for the observability platform
• Ensure the observability platform provides actionable insights into complex systems
• Provide technical guidance on instrumentation, logging, metrics, and tracing across GM’s AV software stack
• Enable rapid detection, debugging, and resolution of unknown or unforeseen system failures
• Collaborate with AI/ML, firmware, infrastructure, and other engineering teams to improve system reliability
• Lead development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at massive scale
• Manage relationships and costs associated with third-party observability software and platforms
• Identify high-ROI investments with minimal guidance
• Deliver impact through foundational tools used by 1,500 engineers and evolve offerings according to business needs

Requirements

• 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teams
• Deep understanding of software engineering and/or machine learning engineering workflows
• Track record of delivering solutions that improved developer workflows
• Strong background designing, developing, and architecting distributed systems, cloud-native applications, and microservices
• Familiarity with Go, Python, Typescript, or similar programming languages
• Knowledge of software development practices for code reviews and architectural decisions
• Experience with modern cloud offerings such as GCP, AWS, or Azure
• Experience with CI/CD pipelines, Kubernetes, and Docker
• Excellent interpersonal and communication skills
• Preferred: familiarity with Istio and Terraform
• Preferred: skill in defining and instrumenting SLIs and SLOs
• Preferred: owning or contributing to Open Source projects
• Passion for self-driving technology and its potential impact on the world

Core Competencies

Demonstrates expertise in managing engineering teams and driving the technical vision for observability platforms, with a strong focus on improving system reliability and developer workflows. Proficient in designing and architecting distributed systems and cloud-native applications while leveraging modern tools and practices.

Highest-signal resume keywords

• Leadership Experience
• Distributed Systems Design
• Cloud-Native Applications
• CI/CD Pipelines
• Observability Platform Management

Hard Skills

• Software Engineering
• Machine Learning Engineering
• Go
• Python
• Typescript
• Kubernetes
• Docker
• SLIs
• SLOs
• Cloud Services

Soft Skills

• Interpersonal Skills
• Communication Skills

Industry Keywords

• Observability
• Telemetry Data
• System Reliability
• Software Development Practices
• Open Source

Tools & Technologies

• GCP
• AWS
• Azure
• Istio
• Terraform