The rapid proliferation of smart consumer devices and the increasing demand for high-quality media streaming have exposed significant limitations in traditional centralized delivery systems, including latency, bandwidth bottlenecks, and inconsistent quality of experience. This paper introduces the Distributed Media Optimization Engine (DMOE), a cloud-native framework designed to overcome these challenges through a modular, distributed architecture that leverages edge computing, intelligent load balancing, and real-time analytics. DMOE incorporates edge nodes for localized content processing, a centralized cloud controller for orchestration, an advanced analytics engine for adaptive streaming, and device-level agents for fine-grained performance monitoring. The framework’s implementation utilizes container orchestration and content delivery networks to enable scalable, secure, and resilient streaming services. Pilot deployments in both urban and rural contexts demonstrate DMOE’s capacity to reduce latency, improve throughput, and promote digital equity by extending quality streaming to underserved areas. By addressing infrastructure strain and enhancing national digital inclusion, DMOE represents a significant advancement in next-generation entertainment delivery.