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Plans and forecasts hardware capacity for a large-scale cloud storage platform across storage, compute, and network, building predictive models and automated forecasting pipelines. Monitors cluster utilization and performance, adjusts deployments to keep headroom, and works with finance and operations on hardware budgets. Requires capacity modeling, distributed systems experience, and data skills in SQL and Python.
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