Day to day, this means building the platform and automation that let us move fast without sacrificing performance-streamlining retraining and rollouts, tuning systems for speed and efficiency, and building the metrics and alerting that give us confidence to ship-while enabling data scientists to deploy and iterate on models quickly and safely. This role will be highly hands-on and infrastructure-first, focused on designing, building, and operating the pipelines, platforms, and tooling that take models from experiment to reliable production service across our app portfolio-and on keeping those systems healthy, performant, and cost-effective once they''re live.