General Motors
Staff Platform Engineer, Cloud Platform
$160K–$333K
Seattle, Washington, United States of America · Hybrid · Staff · Full-time · Posted Oct 30, 2026
- Experience
- 8 or more years building and operating production infrastructure or platforms, including several years in a senior or staff role with technical leadership across teams.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who need sponsorship now or in the future should not apply.
About the job
Build and operate GM’s internal cloud platform, making infrastructure provisioning and software delivery reliable, self-service, and easy for engineers and AI agents.
What you'll do
- Design, build, and operate platform capabilities end to end; set technical direction and write design documents.
- Automate infrastructure provisioning and improve developer workflows, reliability, and delivery through code and platform capabilities.
- Partner with SRE and application teams, mentor engineers, and improve platform usability and measurable reliability.
What they ask for
- Production infrastructure or platform experience, including Kubernetes at scale and internal developer platforms, PaaS, or cloud control planes.
- Strong production software engineering in Go or a comparable language; expertise in infrastructure as code and declarative provisioning.
- Grounding in cloud networking, identity, and security; track record improving reliability with SLOs, observability, and blameless incident practice.
- Technical leadership across teams, strong written communication, and developer-experience judgment.
Nice to have
- Experience with Istio or another service mesh, Gateway API, ArgoCD, Kargo, KEDA, Karpenter, or Kyverno.
- Experience with zero-downtime platform migrations, event streaming, cell-based or multi-region architecture, agent interfaces, FinOps, or cloud native open source.
Pay
$160,200–$333,400 (base salary)
Tools
Kubernetes, Go, Terraform, Crossplane, Azure, Istio, ArgoCD, Kafka
AI focus
Use AI tooling (Cursor, Claude Code and agents) in engineering work, and build APIs and MCP tools that AI agents can use to access the platform.
Model-written summary · the original posting is authoritative