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

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.