THE WORK: RippleX is dedicated to empowering the builders of tomorrow on the XRP Ledger (XRPL), one of the world's fastest and most reliable public blockchains. We believe in democratizing the digital economy by providing practical support, empowering a community of developers, and offering the expertise of a visionary technology company. The XRPL is a decentralized, public blockchain led by a global community of businesses and developers looking to solve problems and create value. Proven reliable over more than a decade of operation and closing over 90 million ledger, the XRPL offers streamlined development, low transaction costs, high performance, and sustainability. We are looking for a senior engineer to help us maintain this high technical bar, while building innovative solutions to ensure the XRPL can power the growing needs of the global digital economy. WHAT YOU'LL DO: * Craft and implement performance test plans for XRPL's peer-to-peer (P2P) network, simulating real-world traffic patterns and node behaviors * Develop custom load generators and network simulators to test latency, efficiency, scalability, and peer connection stability under stress * Perform deep-dive root cause analysis using profiling tools across OS, network stack, and XRPL core to identify bottlenecks and inefficiencies * Build observability dashboards and real-time metrics collection tools to monitor node health, consensus timings, and ledger close durations during test runs * Collaborate with engineering, infra, and DevOps teams to align performance requirements, load forecasts, and production-readiness criteria * Continuously optimize test environments and automation pipelines for high-fidelity simulation of P2P consensus workloads at scale WHAT YOU'LL BRING: * Bachelor's degree in Computer Science or related field, with 8+ years of experience in software performance engineering for complex distributed systems * Deep understanding of Linux/Unix OS internals, including process management, networking stack, file I/O, and kernel-level metrics * Strong knowledge of P2P networking concepts (e.g. gossip, NAT traversal, socket-level tuning, peer connection lifecycle) and experience analyzing performance in decentralized protocols * Advanced proficiency in performance testing methodologies with expertise in measuring and tuning system metrics-latency, efficiency, scalability, availability, and capacity * Hands-on coding and scripting skills (e.g., C++, Python, Shell) for building test harnesses, profiling tools, and log analysis pipelines * Proven experience in debugging, root cause analysis, and optimization across software layers (C++ runtime, OS, network stack, database, etc.) * Familiarity with observability stacks (Grafana, Prometheus, CloudWatch, or equivalent) and system instrumentation for real-time monitoring * Solid understanding of cloud platforms (especially AWS), with experience using EC2, networking configurations, and autoscaling to model high-load distributed environments * Experience with Linux system administration tasks, including performance tuning, resource limits configuration, and analyzing system-level logs and metrics * Comfort working in collaborative environments and cross-functional teams, contributing to architecture and production-readiness from a performance lens Other common names for this role: Performance Engineer