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Netflix is seeking a Capacity Analyst - Fleet Planner to lead fleet planning and optimization for the company's global hardware infrastructure. In this role, you will own the end-to-end strategy for how Netflix acquires, deploys, and retires physical hardware assets—servers, networking equipment, and storage systems—ensuring the right capacity is available in the right place at the right time to power the world's leading streaming service.
You'll work at the intersection of engineering, finance, and supply chain, translating complex demand signals into actionable fleet strategies. Key responsibilities include developing multi-year fleet refresh plans aligned with engineering roadmaps and business priorities; partnering with Engineering, Finance, and Supply Chain teams to align fleet strategy with budget constraints; defining and tracking fleet health metrics (utilization, age distribution, failure rates); leading hardware procurement planning to balance supply and demand; identifying opportunities to reduce total cost of ownership through smarter fleet composition and lifecycle management; and presenting fleet planning roadmaps to senior leadership.
You'll drive cross-functional alignment on fleet standards, refresh policies, and end-of-life decisions, and act as a thought partner to engineering leads on how emerging hardware technologies should influence future fleet composition. This is a high-impact, high-visibility role requiring both deep analytical rigor and the ability to influence senior stakeholders across the organization.
Required qualifications: 5+ years of experience in capacity planning for data center or cloud platforms, or network planning; 5+ years of hands-on experience in data analysis and visualization with proficiency in SQL and Python; knowledge of or strong curiosity about the internet or telecom ecosystem; excellent verbal and written communication skills; and a track record of turning ambiguous, cross-functional problems into structured plans. Technical Program Management experience is preferred, as is proficiency with AI tools. A degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field is a plus, as is familiarity with hardware lifecycle management, procurement processes, or supply-chain planning.
