Engineering Manager, Observability - Remote

General Motors

Mountain View (CA)

On-site

USD 218,800 - 335,300

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision benefits
Flexible Spending Accounts
Retirement savings plan
Paid vacation & holidays
Tuition assistance programs
GM vehicle discounts

Job summary

General Motors is seeking an Engineering Manager for its Observability team to enhance tools that support the autonomous vehicle program. This leadership role involves managing engineers, driving technical strategies, and ensuring the observability of complex systems.

The successful candidate will have over 7 years of experience in software development, strong management skills, and a deep understanding of observability practices using tools such as Prometheus and Grafana.

Qualifications

  • 7+ years of proven leadership experience managing software or site reliability engineering (SRE) teams.
  • Deep understanding of core observability pillars: logs, metrics, and traces.
  • Strong background in designing and developing distributed systems.

Responsibilities

  • Manage and grow a team of engineers.
  • Define and execute the technical vision and roadmap for the observability platform.
  • Provide technical guidance on instrumentation, logging, and metrics.

Skills

Management experience
Observability expertise
Software architecture
Programming proficiency
Cloud infrastructure
Communication skills

Education

Bachelor's degree in relevant field

Tools

Prometheus
Grafana
OpenTelemetry
Go
Python
Typescript
GCP
AWS
Azure
Kubernetes
Docker

Job description

General Motors is seeking an Engineering Manager for its Observability team to enhance tools that support the autonomous vehicle program. This leadership role involves managing engineers, driving technical strategies, and ensuring the observability of complex systems.

The successful candidate will have over 7 years of experience in software development, strong management skills, and a deep understanding of observability practices using tools such as Prometheus and Grafana.

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