Engineer for scale and performance: build capacity models, run load and stress tests, diagnose bottlenecks across compute, networking, Kubernetes, and databases, and validate improvements against throughput, latency, saturation, and cost per workload. Connect business understanding to improvements across the system: learn how key business workflows behave in production, trace their impact across applications, data, and infrastructure, and partner across teams to improve performance, reliability, and cost efficiency beyond any single service or team's scope.