GKE Administrator and Cloud Delivery Engineer

Appealing Points:

• Lead Enterprise GKE Platform Engineering – Design, deploy, and optimize production-grade Google Kubernetes Engine (GKE) environments with a focus on scalability, security, and reliability.
• Work with Modern Cloud & DevOps Technologies – Utilize GKE, Terraform, Helm, GitOps, ArgoCD, Ansible, and Kubernetes-native tools to build and automate cloud-native platforms.
• Drive Cloud Operations & Platform Excellence – Collaborate with application teams to enhance platform security, observability, automation, and continuous delivery across enterprise cloud environments.

Annual salary: 9 million and above

Job Responsibilities:

• Provision, manage, and optimise 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 optimisation
• 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

Job Qualification:

• 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

Preferred Skills:

• 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

Language Skills: Business level Japanese (JLPT N2 and above) and Business level English

Company Description:

One of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era.

Their unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses.

Headquartered in the U.S., this company is one of the Fortune 500 companies and is consistently listed among the most admired companies in the world.

[Passive smoking measures]

Indoor smoking

Designated smoking area

. Skillset Required: Google Kubernetes Engine (GKE), Kubernetes clusters administration, GKE Autopilot, GKE Standard mode, VPC-native clusters, Shared VPC, Private GKE configurations, GKE IAM, RBAC policies, Workload Identity integration, Cluster lifecycle management, Node pool management, Auto-scaling, Cost optimisation, Infrastructure-as-code, Terraform, Helm charts, GitOps workflows, ArgoCD, Flux, Kubernetes-native tooling, Ingress controllers, Service mesh, Istio, Anthos, Policy controllers, OPA, Gatekeeper, Google Cloud Monitoring, Managed Prometheus, Cloud Logging, Ansible playbooks, Workload specifications, Resource quotas, Namespace governance, Cloud delivery activities, Release planning, Environment management, Go-live support, Container security, Image scanning, Binary Authorization, CI/CD pipeline integration, Google Professional Cloud DevOps Engineer certification, CKA certification, CKAD certification, Anthos Service Mesh, Vertex AI Workbench, ML workloads, Multi-tenant GKE platforms, SRE practices, SLO definition, Error budget management, Business-level Japanese, Business-level English