Vinoth Punniyamoorthy, Nitin K. Saksena, Srivenkateswara Reddy Sankiti, Nachiappan Chockalingam, Aswathnarayan Muthukrishnan Kirubakaran, Shiva Kumar Reddy Carimireddy, Durgaraman Maruthavanan
Modern DevOps practices have accelerated software delivery through automation, CI/CD pipelines, and observability tooling, but these approaches struggle to keep pace with the scale and dynamism of cloud-native systems.As telemetry volume grows and configuration drift increases, traditional, rule-driven automation often results in reactive operations, delayed remediation, and dependency on manual expertise.This paper introduces Cognitive Platform Engineering, a next-generation paradigm that integrates sensing, reasoning, and autonomous action directly into the platform lifecycle.This paper propose a four-plane reference architecture that unifies data collection, intelligent inference, policy-driven orchestration, and human experience layers within a continuous feedback loop.A prototype implementation built with Kubernetes, Terraform, Open Policy Agent, and ML-based anomaly detection demonstrates improvements in mean time to resolution, resource efficiency, and compliance.The results show that embedding intelligence into platform operations enables resilient, self-adjusting, and intent-aligned cloud environments.The paper concludes with research opportunities in reinforcement learning, explainable governance, and sustainable self-managing cloud ecosystems.