Staff Engineer, Site Reliability Engineering

General Motors

. Design and implement scalable, fault-tolerant, observable infrastructure for vehicle telemetry, data ingestion, and platform operations .

Posted 10/8/2026full-timeWarren • Michigan • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, fault-tolerant infrastructure for vehicle telemetry and data ingestion, with a strong focus on CI/CD pipelines, observability, and incident management. Proven ability to lead teams, mentor engineers, and influence technical direction while balancing reliability, performance, and cost.

Highest-signal resume keywords

SRE ExperienceCI/CD Pipeline DesignCloud-Native Systems (Azure, AWS, GCP)Programming in Python, Go, or JavaObservability Patterns and Incident Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD Pipeline DesignCloud-Native SystemsProgramming in PythonProgramming in GoProgramming in JavaObservability PatternsIncident ManagementService Level Objectives (SLOs)Service Level Indicators (SLIs)Automated Incident Response

Soft Skills

MentoringCommunication SkillsInfluencing Without AuthorityWorking Under PressureAccountability

Tools & Technologies

Azure DatabricksPrometheusGrafanaOpenTelemetryTerraformGitHub ActionsArgo CDKafkaPulsarFivetran

Certifications & Qualifications

BS in Computer ScienceMS in EngineeringPhD in PhysicsPhD in Mathematics

Industry Keywords

Vehicle TelemetryConnected-Vehicle PlatformsHigh-Volume Event-Driven SystemsAI-Assisted Software DevelopmentContinuous Reliability Improvement

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformGrafanaJavaKafkaPrometheusPulsarPythonTerraformGo

About the role

Key responsibilities & impact

Design and implement scalable, fault-tolerant, observable infrastructure for vehicle telemetry, data ingestion, and platform operations
Lead production readiness efforts across multiple teams
Shape reliability standards and guide architectural improvements
Design, implement, and improve CI/CD delivery pipelines
Establish quality gates, artifact promotion, deployment verification, progressive delivery, and rollback practices
Define and implement SLOs, SLIs, observability, monitoring, alerting, runbooks, and operational best practices
Build and improve reusable AI workflows, skills, and evaluations
Automate incident intake, triage, diagnostics, remediation, evidence collection, service requests, and customer-facing status workflows
Participate in weekly on-call rotations with 12-hour shifts cycling every eight weeks
Lead incident response and coordinate mitigation and recovery
Conduct post-incident reviews and drive durable system-level fixes
Partner with internal customers to understand needs, explain trade-offs, and improve service outcomes
Influence technical direction, mentor engineers, and raise engineering standards through reviews, documentation, and hands-on leadership
Balance reliability, performance, security, delivery speed, and cost in technical decisions

Requirements

What you’ll need

8+ years in SRE, DevOps, or systems engineering
Experience managing or mentoring high-impact teams
Experience designing, building, and maintaining high-scale, cloud-native production systems, preferably Azure, AWS, or GCP
Hands-on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, monitors, alerts, and dashboards
Strong understanding of production readiness, service ownership, SLOs, incident management, post-incident learning, and continuous reliability improvement
Experience participating in on-call rotations and leading technical responses to production incidents
Experience designing, operating, and improving CI/CD pipelines; understanding of GitOps, release strategies, quality gates, deployment verification, progressive delivery, and safe rollback
Strong programming ability in Python, Go, Java, or a comparable language
Disciplined code review, version control, testing, and maintainability practices
Familiarity with AI-assisted software development, LLM application practices, agentic workflows, and evaluation techniques
Ability to work effectively with internal customers in difficult or high-pressure situations
Ability to operate with pace, judgment, and accountability
Ability to influence without formal authority and increase adoption of shared engineering patterns
Strong written and verbal communication skills
BS / MS / PhD in computer science, engineering, physics, mathematics, or another relevant technical field
Preferred experience with Azure Databricks, Azure Event Hubs, AKS, Helm, Kustomize, Terraform, GitHub Actions, Argo CD, GitOps, Prometheus, Grafana, Datadog, OpenTelemetry, Promptfoo, CoPilot, Fivetran, Apache Flink, Kafka, Pulsar, vehicle telemetry, connected-vehicle platforms, or high-volume event-driven systems
Must not require GM immigration sponsorship now or in the future, including H1-B, OPT, STEM OPT, CPT, TN, or J-1 sponsorship

Benefits

Comp & perks

Benefits supporting well-being at work and home
Total Rewards resources
Reasonable accommodations for applicants with disabilities
No relocation benefits; relocation costs are the selected candidate’s responsibility