Support Engineer (Kubernetes)

Make an impact by:

• Design Kubernetes cluster architecture 
• Define deployment models for:

• Red Hat OpenShift (on-prem)
• Amazon EKS, Azure AKS, Google Kubernetes Engine (cloud)

• Deploy and configure Kubernetes/OpenShift clusters
• Implement control plane and worker node setup
• Develop Infrastructure as Code (IaC) for cluster provisioning
• Build reusable templates / golden images for clusters
• Implement GitOps pipelines for deployment
• Standardize Dev/UAT/Prod environments
• Deploy monitoring and logging stack (Prometheus, Grafana, ELK)
• Define baseline alerts, thresholds, and dashboards
• Integrate with enterprise monitoring / ticketing systems
• Provide 24×7 standby support, as required.

Skills for Success:

• Diploma/ bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
• Minimal 3–5 years of working experience with Kubernetes (K8s) architecture and operations.
• Strong hands-on experience with virtualization, container platform and private cloud/Public technologies.
• Practical experience with monitoring, performance management, and capacity planning for infrastructure.
• Strong background in incident management, including troubleshooting complex issues, performing root cause analysis, and implementing permanent corrective actions.

Platform Build & Engineering (Day-1)

• Design, deploy, and configure Kubernetes clusters (on-prem and cloud-based)
• Implement container platforms using OpenShift or managed Kubernetes (EKS, AKS, GKE)
• Define cluster architecture, networking (CNI), ingress/egress, and storage integration
• Automate infrastructure provisioning using IaC tools (e.g., Terraform, Ansible)

Operations & Support (Day-2)

• Perform cluster administration, monitoring, and performance tuning
• Manage upgrades, patching, and lifecycle of Kubernetes/OpenShift environments
• Troubleshoot cluster, pod, networking, and application issues
• Ensure platform availability, resiliency, and backup/recovery readiness

Observability & Automation

• Implement monitoring, logging, and alerting (e.g., Prometheus, Grafana, ELK)
• Build CI/CD pipelines integrating container platforms
• Automate operational tasks and standardize runbooks/SOPs