General Motors
General Motors
General Motors ir globāls autobūves un ražošanas uzņēmums, kas darbojas transportlīdzekļu inženierijas, ražošanas, transporta un informācijas tehnoloģiju jomā. GM, kas dibināts 1908. gadā, izstrādā tehnoloģijas, kuru mērķis ir veicināt mobilitāti, vienlaikus īstenojot savu vīziju par nulli avāriju, nulli emisiju un nulli sastrēgumu. Tā starptautiskā darbība apvieno lielas, daudznozaru komandas, kas koncentrējas uz inovācijām, ilgtspējīgu transportu un autobūves nozares nākotni.

Staff Cloud Platform Engineer

Build and evolve General Motors’ internal cloud platform, control plane, and runtime. Improve Kubernetes-based developer workflows, reliability, and software delivery at scale.

Apraksts

  • Define GM’s standard software delivery platform and migrate existing workloads without downtime.
  • Replace manual, ticket-based provisioning with declarative APIs for networking, identity, and accounts.
  • Create APIs, command-line tools, and MCP tools for engineers and AI agents.
  • Design highly available, scalable systems, including cell-based and multi-region architectures.
  • Work with SRE to set useful SLOs and prevent recurring failures.
  • Create fast, safe delivery workflows with built-in promotion, rollback, and policy controls.
  • Build core platform capabilities from API design through production operations.
  • Set technical direction for platform areas and document design decisions.
  • Reduce developer toil and platform instability through software and automation.
  • Create standard, supported paths for software delivery.
  • Use AI tools such as Cursor, Claude Code, and agent-based workflows.
  • Work with SRE on reliability, on-call practices, and incident reviews.
  • Mentor senior engineers and review designs and code across teams.
  • Work with application teams to find and resolve platform obstacles.

Prasības

  • At least 10 years building and operating production infrastructure or platforms.
  • Several years in a senior or staff role, providing technical leadership across teams.
  • Extensive hands-on experience running Kubernetes in production at scale, including cluster operations, multi-tenancy, autoscaling, and upgrades.
  • Strong software engineering skills in Go or a comparable language.
  • Experience designing and operating an internal developer platform, PaaS, or cloud control plane.
  • Expertise in infrastructure as code and declarative provisioning, such as Terraform, Crossplane, or Kubernetes operators and controllers.
  • Strong grounding in cloud networking, identity, and security; Azure experience is preferred.
  • A track record of improving reliability through SLOs, observability, and blameless incident practices.
  • A strong product mindset focused on developer experience.
  • Clear written communication and the ability to build support for well-reasoned designs.
  • Experience with Istio or another service mesh, Gateway API, ArgoCD, Kargo, KEDA, Karpenter, or Kyverno is a plus.
  • Experience building or migrating a large platform without tenant downtime is a plus.
  • Experience with Azure Event Hubs or Kafka is a plus.
  • Experience with cell-based or multi-region architectures is a plus.
  • Experience building MCP servers or other interfaces for AI agents is a plus.
  • Experience with cloud cost optimization and FinOps data pipelines is a plus.
  • Open source contributions in the cloud native ecosystem are a plus.
  • Applicants must not need GM immigration sponsorship now or in the future; GM does not provide immigration-related sponsorship.

Priekšrocības

  • Potential bonus based on company, role level, and individual performance.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Health Savings Account.
  • Flexible Spending Accounts.
  • Retirement savings plan.
  • Sickness and accident benefits.
  • Life insurance.
  • Paid vacation and holidays.
  • Tuition assistance programs.
  • Employee assistance program.
  • GM vehicle discounts.

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