Support Engineer (Kubernetes)

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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 247 standby support as required.

Skills for Success:

• Diploma/ bachelors degree in computer science Information Technology Engineering or a related discipline.
• Minimal 35 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