• Focus on secure, scalable, production-grade self-hosted platform that customers deploy on their own infrastructure, from laptops to multi-node clusters. • Design and run long-lived workloads that mimic production environments, including sustained load, skewed data distributions, and upgrade workflows. • Build metrics and dashboards to continuously measure throughput, latency, and resource efficiency, and use these insights to guide system improvements. • Run experiments involving node failures, crashes, network partitions, resource contention and rolling upgrades – validating correctness and resilience under stress. • Own and evolve CI/CD pipelines to make them faster, more reliable, and more reflective of production conditions. Ensure that every change is validated under meaningful workloads before it ships. • Work closely with systems engineers to pinpoint bottlenecks, identify regressions, and improve reliability mechanisms.