GKE Engineer

• 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.

• 4+ years of experience in Dev Ops, 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, Config Maps, Secrets, Stateful Sets, 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, Git Hub Actions, or Git Lab 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.

• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.