As cloud-native systems grow in complexity, developers are increasingly expected to manage far more than application logic—CI/CD pipelines, infrastructure provisioning, Kubernetes runtime settings, security controls, and cost considerations. This expanding scope creates cognitive overload, slows delivery, and increases the risk of inconsistency and misconfiguration across teams. This session explores how platform engineering can be used to systematically reduce developer cognitive load while maintaining control, governance, and scalability. It examines architectural patterns that centralize delivery concerns behind well-defined abstractions, allowing developers to focus on building software while platforms handle consistency, security, and operational correctness.