Join the platform engineering team as a Staff or Principal Platform Engineer, taking end-to-end ownership of cloud infrastructure that supports consumer-facing AI products. You will build reliable, secure, high-performance systems and help engineering teams develop and deploy services effectively.
Design, deploy, and maintain reliable, secure cloud infrastructure for AI services.
Own CI/CD pipelines and infrastructure deployments using Terraform, ArgoCD, GitHub Actions, and related tools.
Work with engineers across the organization to deploy and evolve services on major cloud providers.
Build AI-powered tools and workflows that improve software development and deployment.
Provide tools and processes for monitoring service reliability, availability, and performance.
Lead root cause analysis and automate solutions that help prevent recurring issues.
Manage and scale production Kubernetes clusters, including application deployments with Helm charts and Kustomize manifests.
At least 8 years of software or platform engineering experience, with hands-on ownership of production Kubernetes clusters operated as an internal platform.
At least 3 years of infrastructure-as-code experience with Terraform or Terragrunt.
Strong experience with Kubernetes, Helm, Kustomize, Terraform, and ArgoCD or equivalent GitOps tools.
Deep expertise in at least one major cloud provider, such as GCP, Azure, Oracle Cloud, or AWS.
Experience with CI/CD tooling such as GitHub Actions, and a technical or STEM degree.
Experience operating AI/ML infrastructure or supporting real-time, low-latency workloads is a plus.
Annual salary range: $280,000 to $350,000 USD. Visa sponsorship is available.
Hybrid role based in Mountain View, California, United States.
Job details are sourced from the employer's original posting.
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