• Design and implement high-performance anomaly detection algorithms using optimized data structures and our ontology • Build and optimize distributed backend services handling 1M+ concurrent persistent gRPC streams • Develop and optimize endpoint agents for minimal resource footprint (<5% CPU/memory overhead) while processing system telemetry in real-time • Architect multi-tenant event processing pipelines with partition-aware queries, exactly-once semantics, and billion-scale data volumes • Contribute to low-level systems programming: system integrations (e.g., ETW, hardware PMCs), memory management, concurrency primitives • Drive technical decisions on distributed systems patterns, columnar database schemas, API contracts, and performance optimization strategies • Collaborate with research team to translate research into production-grade implementations • Obsess over customer problems, focusing on velocity and user impact over technical pedantry