Engineering Manager Observability
Core
Lead the development of internal tools and data pipelines to collect, analyze, and visualize telemetry data at a massive scale for GM's autonomous vehicle software stack.
Role type
Engineering Manager, Observability Platform
Builds
Internal observability tools, data pipelines, and telemetry visualization dashboards for AV developers
Domain
Autonomous Vehicles / Cloud-Native Observability
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Team leadership, technical strategy, distributed systems architecture, observability pillars (logs, metrics, traces), cloud infrastructure (GCP/AWS/Azure), CI/CD, Kubernetes, Docker, Go, Python, Typescript
Preferred skills
SLI/SLO definition, Open Source contribution, self-driving technology passion
Technologies
Prometheus, Grafana, OpenTelemetry, GCP, AWS, Azure, Kubernetes, Docker, Istio, Terraform, TSDBs
Responsibilities
Manage and grow a team of engineers, define technical vision and roadmap for the observability platform, provide architectural guidance on instrumentation and tracing, ensure tools enable rapid incident response, collaborate with AI/ML and infrastructure teams, manage vendor relationships for observability software
Seniority
Senior, hands-on IC with management responsibilities
