Build and maintain infrastructure tooling for thousands of servers and distributed services. Responsibilities include host provisioning, configuration management, rapid code deployment, service monitoring, automated testing, linting, and infrastructure supporting high-volume real-time data pipelines. The role involves end-to-end project ownership, frequent code delivery, debugging complex distributed systems, and collaboration within a high-performing engineering team.

Design, build, and operate high-throughput, low-latency ad-serving infrastructure processing millions of requests per second. Optimize GPU-powered TensorRT inference, feature stores, model serving, benchmarking, experimentation tooling, and system reliability. Partner with machine learning engineers to productionize models and own systems through design, deployment, observability, capacity planning, incident response, and optimization.