Teams at yeet

Build and optimize a canvas-based browser app ingesting and visualizing large data streams. Architect data pipelines, rendering loops, and memory-constrained solutions. Implement performance-critical UI using TypeScript, Canvas/WebGL/DOM, low-level web APIs, workers, and potentially WebAssembly. Measure and tune rendering, memory, and responsiveness.

Build and maintain yeetd, a dynamic BPF runtime in Rust for on-demand observability. Work close to the Linux kernel, design safe concurrent systems, use eBPF and perf events for instrumentation, and optimize performance under real-world load.

Build and scale backend services for a real-time observability platform. Work on high-throughput data ingestion, streaming systems, pub/sub and async task pipelines, ensuring throughput, reliability, fault tolerance, testability, and production readiness under load.