Description

Job Description:

GKE / Kubernetes Engineer

Key Responsibilities:

·         Design, deploy, and manage Kubernetes clusters and containerized workloads using Google Kubernetes Engine (GKE).

·         Configure and maintain GKE clusters, including node pools, autoscaling, networking, load balancing, and cluster upgrades.

·         Deploy and manage applications using Kubernetes manifests, Helm charts, and Kustomize.

·         Implement CI/CD pipelines for automated application builds, testing, deployment, and release management.

·         Automate infrastructure provisioning and configuration using Terraform and Infrastructure as Code (IaC) practices.

·         Implement Kubernetes security best practices, including RBAC, Workload Identity, secrets management, network policies, and container image security.

·         Configure monitoring, logging, alerting, and observability using Google Cloud Operations Suite, Prometheus, and Grafana.

·         Troubleshoot cluster, networking, application deployment, performance, and production availability issues.

·         Optimize cluster resource utilization, scalability, reliability, and cloud infrastructure costs.

·         Collaborate with application development, SRE, security, and platform engineering teams to support cloud-native modernization.

Required Skills and Qualifications:-

·         4+ years of experience in DevOps, cloud infrastructure, platform engineering, or Kubernetes administration.

·         Hands-on experience with Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE).

·         Strong understanding of Kubernetes architecture, including Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, StatefulSets, and persistent storage.

·         Experience with Docker or other OCI-compliant container technologies.

·         Proficiency in Terraform or similar Infrastructure as Code tools.

·         Experience developing and maintaining CI/CD pipelines using tools such as Cloud Build, Jenkins, GitHub Actions, or GitLab CI.

·         Knowledge of Linux administration, networking, DNS, TLS, load balancing, and troubleshooting.

·         Experience with monitoring, logging, and alerting tools.

·         Familiarity with Git-based workflows, scripting, and automation using Python, Bash, or Go.

Success Criteria:-

·         Reliable, secure, and scalable GKE platform operations.

·         Reduced deployment lead time through CI/CD and automation.

·         Improved service availability and faster incident resolution.

·         Optimized cloud resource utilization and infrastructure costs.

·         Consistent adherence to security, compliance, and operational standards

Key Skills

Education

Any Graduate