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About the Role

Manage, scale, and evolve our Google Kubernetes Engine platform, ensuring it is production-ready, secure, and continuously improving through deep Kubernetes expertise and strong cloud delivery practices.

Responsibilities

• Provision, manage, and optimize GKE clusters including Autopilot and Standard modes across multiple environments.
• Design and implement cluster networking, including VPC-native clusters, Shared VPC, and Private GKE configurations.
• Manage GKE IAM, RBAC policies, and Workload Identity integration to enforce least-privilege access.
• Own cluster lifecycle management: upgrades, node pool management, auto-scaling, and cost optimization.
• Define and maintain infrastructure-as-code for GKE using Terraform and Helm charts.
• Implement GitOps workflows using ArgoCD or Flux for continuous delivery to GKE environments.
• Configure and manage Kubernetes-native tooling: Ingress controllers, service mesh (Istio/Anthos), and policy controllers (OPA/Gatekeeper).
• Deliver observability solutions using Google Cloud Monitoring, Managed Prometheus, and Cloud Logging.
• Automate operational tasks and cluster configuration using Ansible playbooks.
• Collaborate with application teams to define workload specifications, resource quotas, and namespace governance.
• Support cloud delivery activities including release planning, environment management, and go-live support.

Requirements

• 4+ years of experience administering production Kubernetes clusters, with at least 2 years on GKE.
• Strong understanding of GKE networking: VPC-native, Shared VPC, Private Clusters, Cloud NAT.
• Hands-on experience with Terraform for GKE cluster provisioning and node pool management.
• Proficiency in Helm for Kubernetes application packaging and deployment.
• Experience with GKE IAM, RBAC, and Workload Identity Federation.
• Familiarity with GitOps tools (ArgoCD, Flux) and CI/CD pipeline integration.
• Working knowledge of Ansible for configuration management and automation.
• Strong understanding of container security, image scanning, and Binary Authorization.
• Google Professional Cloud DevOps Engineer or CKA/CKAD certification.
• Experience with Anthos Service Mesh or Istio on GKE.
• Familiarity with Vertex AI Workbench or ML workloads on GKE.
• Experience managing multi-tenant GKE platforms at enterprise scale.
• Background in SRE practices, SLO definition, and error budget management.

Skills

• Kubernetes
• Google Kubernetes Engine (GKE)
• Cloud Delivery
• Terraform
• Helm
• ArgoCD
• Flux
• Ansible
• Istio
• Anthos
• OPA/Gatekeeper
• Google Cloud Monitoring
• Managed Prometheus
• Cloud Logging
• VPC-native networking
• Shared VPC
• Private GKE configurations
• IAM
• RBAC
• Workload Identity
• GitOps
• CI/CD
• Configuration Management
• Container Security
• Image Scanning
• Binary Authorization
• SRE Practices
• SLO Definition
• Error Budget Management

Experience Level

• 4+ years of experience administering production Kubernetes clusters
• at least 2 years on GKE