Scott Mccoy is a Distinguished Software Engineer with 15 years building high-throughput, cost-efficient distributed systems from Oakland, CA. He has led platform engineering and R&D at Quantcast, architecting a custom information retrieval system (Kamke) and redesigning RTB stacks to cut costs by over 50% while improving latency and operational visibility. His work spans low-latency UDP protocols, domain-specific query languages, NVMe-optimized indexes and production autoscaling, delivering multi-million dollar savings and measurable product impact. Prior roles at Say Media and LeapFrog show deep expertise in ad delivery, event-driven architectures and large-scale data processing, with a track record of turning prototypes into core product platforms. He combines hands-on coding with setting engineering standards, hiring and cross-site enablement, and often focuses on observability and statistical metrics to make performance bottlenecks obvious. A pragmatic systems thinker, he routinely finds high-leverage optimizations that reduce costs and simplify operations while preserving feature velocity.
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Scott Mccoy - Distinguished Software Engineer at Quantcast