Performance Engineering and Optimization is the systematic, data-driven discipline focused on building and maintaining software systems that meet defined performance requirements for latency, throughput, and resource consumption. It is a proactive practice that extends across the entire software lifecycle, influencing architectural design, algorithm selection, and capacity planning, as well as a reactive one involving the continuous monitoring, analysis, and tuning of production systems to identify and eliminate bottlenecks. By applying fundamental computer science principles within a DevOps and SRE context, this field ensures that applications are not only fast and responsive but also scalable, reliable, and cost-effective under real-world load.