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True Talent Solutions Partners

engineering opportunity

Staff / Principal Platform Engineer

Design, deploy, and maintain secure cloud infrastructure for AI products while managing CI/CD pipelines and Kubernetes clusters. Collaborate with engineering teams to evolve services and build AI-powered tools to improve development workflows.

Mountain View, California, United StateshybridFULL_TIME

Posted

About the role

What will you do at True Talent Solutions Partners?

About the Role

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.

What You'll Do

  • 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.

What We're Looking For

  • 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.

Compensation

& Benefits

Annual salary range: $280,000 to $350,000 USD. Visa sponsorship is available.

Location

Hybrid role based in Mountain View, California, United States.

Which skills does this role require?

KubernetesTerraformArgoCDGitHub ActionsHelmKustomizeCloud InfrastructureCI/CDGitOpsAI/ML InfrastructureSystem ReliabilityPerformance MonitoringRoot Cause AnalysisInfrastructure-as-codePlatform EngineeringAIMLGCPAzureAWSOracle CloudReliability EngineeringAutomationSTEMProduction SystemsScalabilityLow-latencySoftware DevelopmentMachine Learning

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