Cloud Computing (CC) technology facilitates virtualized computer resources to users via service providers. Load balancing assumes a critical role in distributing dynamic workloads across cloud systems, ensuring equitable resource allocation without overwhelming or underutilizing virtual machines (VMs). However, uneven workload distribution poses a significant challenge in cloud information centers, hindering efficient Use of resources. To address these issues, this paper proposes a novel Dynamic Efficient Load balancing in Cloud Using Bald Eagle infused secretary bird optimization for virtual server (DEL-CUBE) is developed for effective load balancing process in cloud computing environment. The Hybrid Bald Eagle-Secretary Bird Optimization Algorithm (BE-SBOA) is implemented for offloading decisions which optimizes resource allocation and enhances user experiences. The evaluation of the performance of the DEL-CUBE framework involves a thorough assessment that includes essential metrics such as waiting time, throughput, execution time, latency, computational complexity, and computational cost. The simulation experiments of the proposed DEL -CUBE framework is conducted using Cloud Sim and achieves a better throughput of 1206.6 Kbps whereas, the RPO, BWKA and IWH-LFA technique attains 865 Kbps, 943.4 Kbps, and 984.6 Kbps respectively for intelligent load balancing in cloud networks