• Have good understanding of Kubernetes architecture & components like Deployment, ConfigMap, Secrets, etc.• Have command over understanding of different types of services like headless services, ClusterIP, Nodeport and Loadbalancer services.• Also, have understanding of concepts like ingress, ingress controller and namespaces.• Can write, understand and interpret yaml files for kubernetes components.• Troubleshooting issues related to Pods, Deployments, Nodes etc.• Have good understanding of scheduling related concepts like Node Selector, Node Affinity, Taints & Tolerations, Daemonsets, Static Pods, Limits & Quota, etc.• Have good knowledge of Monitoring cluster components, Application & pod logs.• Have working knowledge of Cluster maintenance concepts such as K8s version upgrade, draining the node, cordon & uncordon the nodes, backup & restore of ETCD cluster etc.• Also have exposure to security related concepts in K8s such as Authentication, Authorization, TLS/SSL basics, Roles & Rolebindings, Clusterroles & Clusterrolebindings, Service Accounts, Security Context & Network Policies etc.• Have knowledge of storage related concepts such as Persistent Volumes, Persistent Volume Claims, Storage Class, Mounting storages in pods.• Also have knowledge of Json Path, cluster monitoring.

• WAS Profile creation, Cell and Cluster creation, node and node agent creation.• Administrative activities on profile: Port change, Security configuration, JVM configuration, Queue, Queue connection factory, topics, topic connection factory, activation specification, listeners, buses, bus member configuration, Web server configuration, Virtual hosts configuration, administrative user/group configuration.• Clustering: Vertical and Horizontal for High Availability and Load Balancing.• Analysis of JVM logs, Trace logs, native logs, access and activity logs.