Modern telecommunications and cloud backbone networks rely on hybrid Dense Wavelength Division Multiplexing (DWDM) and IP/MPLS infrastructures to deliver high-capacity, low-latency connectivity. Despite built-in redundancy, failures still lead to high Mean Time to Repair (MTTR) due to manual topology identification, limited cross-layer visibility, and inconsistent failover mechanisms. This study proposes a standardized failover framework that integrates automated topology discovery, cross-layer fault correlation, and intelligent path recomputation. By combining optical layer telemetry, IP routing intelligence, and automation platforms, the framework enhances real-time network awareness and accelerates failure detection and recovery. Simulation and architectural analysis show that automated topology discovery significantly reduces fault isolation time and improves failover efficiency in hybrid DWDM-IP networks. The proposed approach strengthens carrier-grade resilience by reducing downtime, improving operational efficiency, and ensuring better service continuity.