Staff Engineer, Site Reliability Engineering

General Motors (GM)

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Warren, MI
Employment
Full-time
Posted
8 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $181k
$132k $241k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $146,250–$215,687.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 196 open roles on FindRole.

Listed pay typically runs $159,200–$245,000 across 54 roles with salary data.

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At a glance

TL;DR · Staff Engineer, Site Reliability Engineering

The Staff Engineer, Site Reliability Engineering joins the team to ensure the reliability, observability, and scalability of data platforms for next-generation software-defined vehicles. This role involves leading the design and implementation of fault-tolerant infrastructure for vehicle telemetry and data ingestion. Key responsibilities include managing production readiness, designing CI/CD delivery pipelines, establishing SLOs and SLIs, and leading incident response. You will build reusable AI workflows and automate operational tasks like triage and remediation. Required technical skills include proficiency in Python, Go, or Java, along with experience in cloud-native systems using Azure, AWS, or GCP. You will utilize tools such as Kubernetes, Terraform, GitHub Actions, Prometheus, and Grafana. The work focuses on solving complex data processing and high-volume event-driven system challenges within the automotive domain.

What does a Engineer earn?

Median $178175 from 251 postings across 54 companies.

See salary data

What you'll do

  • Design and implement scalable, fault-tolerant infrastructure for vehicle telemetry and data ingestion.
  • Lead production readiness efforts by shaping reliability standards and guiding architectural improvements across teams.
  • Build and improve CI/CD delivery pipelines to ensure repeatable, safe, and fast software releases.
  • Define and implement SLOs, SLIs, monitoring, alerting, and operational best practices with cross-functional teams.
  • Develop and improve reusable AI workflows, skills, and evaluations using structured testing techniques.
  • Automate operational tasks including incident intake, triage, diagnostics, remediation, and customer-facing status workflows.
  • Lead incident response efforts, coordinate mitigation, and drive durable system-level fixes during post-incident reviews.
  • Mentor engineers and influence technical direction through design reviews, code reviews, and hands-on leadership.

What we're looking for

  • 8+ years of experience in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.
  • Track record of designing and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).
  • Hands-on experience architecting observability patterns, including OTEL configuration, SLO/SLI definitions, and monitoring tools.
  • Experience designing, operating, and improving CI/CD pipelines with an understanding of GitOps and release strategies.
  • Strong programming ability in Python, Go, Java, or a comparable language with disciplined code review and testing practices.
  • Experience participating in on-call rotations and leading technical responses to production incidents.
  • BS/MS/PhD in computer science, engineering, physics, mathematics, or another relevant technical field.
  • Preferred experience with Azure Databricks, Kubernetes (Helm/Kustomize), Terraform, GitHub Actions, and Prometheus/Grafana.

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