GKE Engineer - CI/CD Pipeline (8-10 yrs)

8 - 10 years

10 - 14 Lacs

Posted:21 hours ago| Platform: Naukri logo

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Full Time

Job Description

GKE Engineer|| 8 yrs|| Pan India.
  • Containerization & Docker Expertise
  • Advanced Docker Knowledge - Deep understanding of Dockerfile optimization, multi-stage builds, and image layer caching for efficient image creation.- Proficiency in Docker Compose for multi-container application orchestration (useful for local testing and migration planning).- Security best practices for Docker images, including vulnerability scanning and secure registry management.
  • Container Runtime Understanding - Knowledge of container runtimes like containerd and their implications on GKE.- Debugging container runtime issues.
  • Kubernetes (GKE) Mastery
  • GKE Cluster Architecture & Design - Ability to design highly available, scalable, and secure GKE clusters based on workload requirements.- Expertise in node pool management, autoscaling, and resource optimization.- Understanding of GKE networking, including VPCs, subnets, and network policies.- Knowledge of GKE security features, such as IAM, RBAC, and workload identity.- Understanding of GKE Autopilot vs Standard mode, and when to use each.
  • Kubernetes Core Concepts - In-depth knowledge of Kubernetes objects (Pods, Deployments, Services, ConfigMaps, Secrets, etc.- Proficiency in using kubectl for cluster management and troubleshooting.- Understanding of Kubernetes scheduling, resource management, and service discovery.- Advanced understanding of custom resource definitions(CRDs) and operators.
  • GKE Networking - VPC native clusters, and private clusters.- Understanding of how to set up ingress and egress.- Understanding of Cilium, and other CNI's.
  • GKE Security - Workload Identity.- Binary Authorization.- Network Policies.- Secret Management.
  • DevOps & Infrastructure as Code (IaC)
  • CI/CD Pipelines - Designing and implementing robust CI/CD pipelines for containerized applications using tools like Cloud Build, Jenkins, GitLab CI, or Argo CD.- Automating image building, testing, and deployment to GKE.- Implementing blue/green deployments or canary releases.
  • Infrastructure as Code (IaC) - Proficiency in using Terraform or Deployment Manager to automate GKE cluster provisioning and configuration.- Managing infrastructure changes through version control and code reviews.- Using tools like Config Connector to manage GCP resources with kubernetes.
  • Monitoring & Logging - Setting up comprehensive monitoring and logging solutions using Cloud Monitoring and Cloud Logging.- Implementing alerting and dashboards for proactive issue detection.- Understanding of distributed tracing.
  • GitOps Understanding and implementation of GitOps methodologies.
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