Developed automated tests for Kernel Module Management taint and toleration handling in the openshift-kni/eco-gotests repository, focusing on ensuring that KMM modules can be deployed and managed on Kubernetes nodes with various taints such as those introduced during cluster upgrades or under resource pressure. Leveraged Go and Kubernetes expertise to implement coverage that verifies modules respect specified tolerations, allowing correct scheduling on tainted nodes. The work enhanced CI/CD reliability by reducing regression risk in dynamic taint scenarios, contributing to more robust cluster management. Emphasized thorough testing practices to validate module behavior and maintain system stability during evolving cluster conditions.