Senior Site Reliability Engineer - Scalable Data Platform

Devopsroles; Warren (MI); Hybrid; USD 180.000 - 240.000; Vollzeit

Zusammenfassung

General Motors is seeking a Staff Engineer to advance its data platforms toward higher reliability, observability, operability, and scalability. You will influence engineering patterns, collaborate with SRE, data engineering, infrastructure, and product teams, and drive durable improvements from design to production.

You will lead architecture, guide incident response, and shape CI/CD practices while mentoring engineers and fostering cross-team collaboration in a hybrid work environment.

Qualifikationen

• 8+ years in SRE, DevOps, or systems engineering, including experience managing or mentoring high-impact teams.
• Track record of designing and building and maintaining high-scale, cloud-native systems in production (preferably Azure, AWS, or GCP).
• Hands‑on experience architecting observability patterns, including standardized instrumentation, OTEL collector configuration, SLO/SLI definitions, and deploying observability resources like monitors, alerts, and dashboards.

Aufgaben

• Lead the design and implementation of scalable, fault-tolerant, and observable infrastructure supporting vehicle telemetry, data ingestion, and platform operations.
• Lead production readiness efforts across multiple teams—engaging directly in code, shaping reliability standards, guiding architectural improvements, and ensuring applications launch with resilient deployments, strong observability, and predictable operations.
• Design, implement, and improve CI/CD delivery pipelines that make releases repeatable, safe, observable, and fast. Establish appropriate quality gates, artifact promotion, deployment verification, progressive delivery, and rollback practices.
• Partner across SRE, product, and application teams to design and implement meaningful SLOs, SLIs, observability, monitoring and alerting, runbooks, and operational best practices.
• Build and improve reusable AI workflows, skills, and evaluations. Apply appropriate validation techniques, including regression testing, structured evaluations, and LLM-as-a-judge approaches where useful.

Kenntnisse

SRE/DevOps leadership

Cloud-native systems design

Observability design

CI/CD pipelines

Python/Go/Java

On-call incident response

Effective communication

Ausbildung

BS / MS / PhD in CS/Engineering/Math

Tools

Azure

AWS

GCP

AKS

Terraform

GitHub Actions

Argo CD

Prometheus

Grafana

OpenTelemetry

Fivetran

Kafka

Pulsar

Jobbeschreibung

General Motors is seeking a Staff Engineer to advance its data platforms toward higher reliability, observability, operability, and scalability. You will influence engineering patterns, collaborate with SRE, data engineering, infrastructure, and product teams, and drive durable improvements from design to production.

You will lead architecture, guide incident response, and shape CI/CD practices while mentoring engineers and fostering cross-team collaboration in a hybrid work environment.