SME - Azure DevOps, Terraform

Experience: Not Available to Not Available years

Location: Gautam Buddha Nagar, India

Skills: Kubernetes, Azure CNI, IPAM, Bash, Python, IaC, Azure networking, VNet, NSG, route tables, private endpoints, ingress controllers, load balancers, traffic routing, persistent volumes, observability, Kubernetes RBAC, node scaling, patching

Job Summary
Kubernetes Engineer (AKS, GKE )
• Execution of large-scale Kubernetes networking migration (kubenet → Azure CNI) for 5000+ pod production clusters with minimal downtime
• Deep understanding of Kubernetes networking architecture, including Azure CNI (IPAM, pod IP allocation, VNet integration) and kubenet limitations
• Advanced IP capacity planning and subnet sizing for high-density clusters ensuring no IP exhaustion during migration
• Design and implementation of migration strategy (blue-green / node pool-based migration) for seamless workload transition
• Hands-on execution of node pool migration (cordon, drain, rescheduling) to shift workloads to CNI-enabled nodes
• Strong expertise in Azure networking (VNet, NSG, route tables, private endpoints) aligned for Kubernetes workloads
• Troubleshooting of pod-to-pod communication, DNS resolution, service routing, and network latency issues during migration
• Management of ingress controllers, load balancers, and traffic routing changes during network transition
• Handling stateful workload migration with persistent volumes and storage reattachment across node pools
• Implementation of monitoring and observability for cluster health, pod status, network metrics, and performance tracking
• Strong scripting and automation skills (Bash, Python, IaC) to orchestrate migration and reduce manual intervention
• Implementation of rollback and failover strategies ensuring safe recovery during production migration
• Configuration and management of Kubernetes RBAC, namespaces, and workload isolation during migration
• Execution of Kubernetes operations including cluster upgrades, node scaling, and patching, Nodepool Migrations.
• Kubernetes cluster support including workload deployments, troubleshooting pod failures,



and performance tuning

Key Responsibilities
Kubernetes Engineer (AKS, GKE )
• Execution of large-scale Kubernetes networking migration (kubenet → Azure CNI) for 5000+ pod production clusters with minimal downtime
• Deep understanding of Kubernetes networking architecture, including Azure CNI (IPAM, pod IP allocation, VNet integration) and kubenet limitations
• Advanced IP capacity planning and subnet sizing for high-density clusters ensuring no IP exhaustion during migration
• Design and implementation of migration strategy (blue-green / node pool-based migration) for seamless workload transition
• Hands-on execution of node pool migration (cordon, drain, rescheduling) to shift workloads to CNI-enabled nodes
• Strong expertise in Azure networking (VNet, NSG, route tables, private endpoints) aligned for Kubernetes workloads
• Troubleshooting of pod-to-pod communication, DNS resolution, service routing, and network latency issues during migration
• Management of ingress controllers, load balancers, and traffic routing changes during network transition
• Handling stateful workload migration with persistent volumes and storage reattachment across node pools
• Implementation of monitoring and observability for cluster health, pod status, network metrics, and performance tracking
• Solid scripting and automation skills (Bash, Python, IaC) to orchestrate migration and reduce manual intervention
• Implementation of rollback and failover strategies ensuring safe recovery during production migration
• Configuration and management of Kubernetes RBAC, namespaces, and workload isolation during migration
• Execution of Kubernetes operations including cluster upgrades, node scaling, and patching, Nodepool Migrations.




• Kubernetes cluster support including workload deployments, troubleshooting pod failures, and performance tuning

Skill Requirements
Kubernetes Engineer (AKS, GKE )
• Execution of large-scale Kubernetes networking migration (kubenet → Azure CNI) for 5000+ pod production clusters with minimal downtime
• Deep understanding of Kubernetes networking architecture, including Azure CNI (IPAM, pod IP allocation, VNet integration) and kubenet limitations
• Advanced IP capacity planning and subnet sizing for high-density clusters ensuring no IP exhaustion during migration
• Design and implementation of migration strategy (blue-green / node pool-based migration) for seamless workload transition
• Hands-on execution of node pool migration (cordon, drain, rescheduling) to shift workloads to CNI-enabled nodes
• Strong expertise in Azure networking (VNet, NSG, route tables, private endpoints) aligned for Kubernetes workloads
• Troubleshooting of pod-to-pod communication, DNS resolution, service routing, and network latency issues during migration
• Management of ingress controllers, load balancers, and traffic routing changes during network transition
• Handling stateful workload migration with persistent volumes and storage reattachment across node pools
• Implementation of monitoring and observability for cluster health, pod status, network metrics, and performance tracking
• Strong scripting and automation skills (Bash, Python, IaC) to orchestrate migration and reduce manual intervention
• Implementation of rollback and failover strategies ensuring safe recovery during production migration
• Configuration and management of Kubernetes RBAC, namespaces, and workload isolation during migration
• Execution of Kubernetes operations including cluster upgrades, node scaling, and patching, Nodepool Migrations.
• Kubernetes cluster support including workload deployments, troubleshooting pod failures, and performance tuning

Other Requirements
1. Certification In Azure Solutions Architect Or Terraform Associate Is Optional But Valuable.
2. Itil Foundation Certification Is Recommended

📌 SME Azure DevOps, Terraform (Noida)
🏢 HCL Technologies
📍 Noida