31 Gke Cluster Jobs - Page 2

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.

GCP

Design, implement, manage secure & compliant cloud-based access control with a focus on PAM,Implement & manage least privilege via just-in-time access, session management & identity lifecycle management. Perform risk assessments and security audits

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.ApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Hi, Urgent opening for DevSecOps Engineer with EY GDS at Pan India Location. Please apply if Available for Virtual Interview on 17th May 2025. https://careers.ey.com/job-invite/1590844/ Basis your availability we will be sharing invites post your application. EXP :3-6 Yrs Location: Pan India Mandatory Skills: Terraform ( Write code modify) CI/CD, Kubernetes,(aks,EKS,GKE ,) Python Ansible write modify update - Good to Have Desired Profile Any Bachelors degree 3-6 years of hands-on experience in Cloud and DevOps roles. Proficiency in Terraform for infrastructure as code. Strong experience with at least one major cloud platform (AWS, Azure, or GCP). Solid understanding and practical experience with CI/CD concepts and tools (Jenkins, GitLab CI, CircleCI, etc.). Hands-on experience with Kubernetes and Helm charts. Proficiency in Python or strong scripting skills (Bash, PowerShell, etc.). Experience with containerization technologies (Docker). Excellent problem-solving skills and a proactive attitude. Strong communication and collaboration skills. Technical Skills & Certifications Relevant OEM Level Certifications from: Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Administrator, Google Professional Cloud Architect). Terraform Kubernetes

Key Responsibilities: Design, implement, and maintain GCP cloud infrastructure using Infrastructure as Code (IaC) tools Manage and optimize Kubernetes clusters on GKE (Google Kubernetes Engine) Build and maintain CI/CD pipelines for efficient application delivery Monitor GCP infrastructure costs and drive optimization strategies Develop observability solutions using GCP-native and third-party tools Collaborate with engineering teams to streamline deployment and operations workflows Enforce security best practices and ensure compliance with internal and industry standards Design and implement high availability (HA) and disaster recovery (DR) architectures Mandatory Technical Skills: GCP Services: Compute Engine, VPC, Cloud Storage, Cloud SQL, IAM, Cloud DNS, Cloud Monitoring Infrastructure as Code: Terraform (preferred), Deployment Manager Containerization: Docker, Kubernetes (GKE expertise required) CI/CD Tools: GitHub Actions, Cloud Build, Jenkins, or similar Version Control: Git Scripting Languages: Python, Bash Monitoring & Logging: Stackdriver, Prometheus, Grafana, ELK Stack Strong experience with automation and configuration management (Terraform, Ansible, etc.) Solid understanding of cloud security best practices Experience designing fault-tolerant, resilient cloud-native architectures 47 years in DevOps/Cloud Engineering roles Minimum 2+ years hands-on with GCP infrastructure and services Proven experience managing CI/CD pipelines and container-based deployments Strong background in modern DevOps tools and cloud-native architectures Preferred candidate profile