Computing resources are scattered under unlike ownerships each one possesses their particular access tactic, outlay and a range of constraints. Now a day, the newest paradigm to come into view is Cloud Computing environment that guarantees stable functionalities offered by high-end data centers which are constructed based on storage, computation and virtualization concepts. Users are informed and skilled to get information and use applications throughout the globe on claim from everywhere and anytime in cloud environment. Virtualization is an appellation that associates to the abstraction of computer resources. The functionalities which are normally called as “Cloud Services,” are passed through various high-end data centers. In this research paper, Job Scheduling is proposed based on an optimized approach by hybridizing the Genetic Algorithm and Tabu Search algorithm for the cloud environment using CloudSim Simulator to choose the most capable service or application from the correct set of services.