Note: The job is a remote job and is open to candidates in USA. Netflix is hiring a Capacity Analyst to lead fleet planning and optimization for its global hardware infrastructure. The role develops long-term plans for acquiring, deploying, refreshing, and retiring hardware, while aligning engineering, finance, and supply chain priorities.

Responsibilities

• Development of Long-Range Infrastructure Capacity Strategies: Create forward-looking strategies that inform long-term financial planning, network design, and near-term deployment and implementation decisions
• Effective Infrastructure Allocation: Convert demand forecasts across multiple products into clear, actionable capacity plans and strategic recommendations to drive investment decisions. Balance infrastructure availability across product types
• Data-Driven Analyses for Platform Optimization and Scalability: Conduct ongoing, data-driven analyses focused on optimizing efficiency, spend, and architectural direction while ensuring long-term platform scalability and resiliency
• Risk Assessment & Management: Identification of potential risks related to capacity shortages or excesses and development of mitigation strategies
• Infrastructure Performance Monitoring: Continuous tracking of infrastructure performance and utilization to identify bottlenecks or inefficiencies
• Own the multi-year fleet refresh plan for Netflix's global hardware infrastructure, including servers, networking equipment, and storage systems, translating engineering roadmaps and business priorities into coherent long-term fleet plans
• Partner with Engineering, Finance, and Supply Chain teams to align fleet strategy with business priorities and budget constraints
• Collaborate cross-functionally to define and track key fleet health metrics (utilization, age distribution, failure rates) to drive continuous optimization and life-cycle optimization
• Lead hardware procurement planning in collaboration with Business Operations team, ensuring supply meets demand without over-provisioning
• Identify opportunities to reduce total cost of ownership (TCO) through smarter fleet composition, lifecycle management, and decommissioning strategies, and build the business case for those changes
• Build and present fleet planning roadmaps and recommendations to senior leadership
• Drive cross-functional alignment on fleet standards, refresh policies, and end-of-life decisions, ensuring consistency across engineering and infrastructure teams
• Act as a thought partner to engineering leads on how emerging hardware technologies and architectural changes should influence future fleet composition

Skills

• 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, Python a plus
• Knowledge of — or strong curiosity about — the internet, or telecom ecosystem
• Excellent verbal and written communication skills, with the ability to tailor messaging for both technical and executive audiences
• A track record of turning ambiguous, cross-functional problems into structured plans, even when the underlying data is incomplete
• Comfort operating independently while building consensus across teams that don't report to you
• Proficiency in AI tools
• Technical Program Management Experience
• A degree in Management Information Systems, Management Consulting, Statistics, or a related quantitative field — or equivalent hands-on experience
• Technical Program Management experience, particularly in environments spanning engineering, finance, and operations
• Familiarity with hardware lifecycle management, procurement processes, or supply-chain planning
• Experience building financial or TCO models to support infrastructure investment decisions

Benefits

• Remote work
• Health Plans
• Mental Health support
• A 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs
• Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
• Full-time salaried employees are immediately entitled to flexible time off.

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