The New York Times - Senior Cloud Capacity Engineer
Requirements
• 8–10+ years in capacity engineering, cloud cost management, SRE, or platform/infrastructure engineering in a public cloud environment, partnering closely with engineering and finance on infrastructure investment and cost predictability. • Experience modeling capacity and cloud spend for large-scale, distributed systems, including forecasting, scenario planning, and cost-to-serve analysis. • Strong understanding of cloud deployment architectures (compute, storage, networking, data) and the cost and capacity drivers behind them. • Proficiency with cloud cost and usage tools (e.g., FinOut, Cloudability, AWS Cost Explorer, GCP Billing/Export) and observability platforms to derive capacity signals. • Advanced data analysis and modeling skills (e.g., Google Sheets, SQL/BigQuery) to build, validate, and communicate capacity models and forecasts—even with imperfect data. • Background in FinOps or cloud financial management, especially in high-traffic or subscription environments, and familiarity with readiness and reliability practices (e.g., load testing, capacity readiness reviews, Always Ready–style programs). • The annual base pay range for this role is between: • $140,000—$160,000 USD • For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. • For roles outside of the U.S., information on benefits will be provided during the interview process. • We’re excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process. • If you’re an Engineering candidate, we’ll let you know what specific GenAI tools you are permitted to use for your technical assessment. • The New York Times Company is committed to being the world’s best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.
Responsibilities
• Capacity & Forecasting • Build and maintain forward-looking capacity models for major platforms, environments, and CUJs using historical trends, product roadmaps, and traffic patterns. • Translate growth (traffic, data, features, video) into infrastructure capacity plans that balance performance, resiliency, and cost. • Quantify “cost of capacity vs. risk” trade-offs and provide clear recommendations for both run-rate and new initiatives. • Partner with CCCE and Finance to improve cloud forecast accuracy and connect capacity assumptions to budgets, multi-year plans, and cloud commitments. • Architectural Optimization • Partner with Cloud Engineering and platform teams to analyze scaling behavior, rightsize resources, and implement cost-efficient patterns (autoscaling, reservations/savings plans, storage policies, non-prod guardrails). • Identify systemic capacity and efficiency risks across architectures and drive solutions via guardrails, reference designs, and lifecycle automation. • Embed capacity and cost considerations into design reviews and intake for new services and cost-impacting changes. • Tooling, Signals & Reporting • Leverage and evolve cost and capacity tooling (e.g., FinOut, billing exports, dashboards) to produce actionable capacity signals rather than raw data. • Work with SRE and observability teams to align capacity signals (utilization, saturation, headroom thresholds) with reliability and performance goals. • Create concise views, narratives, and recommendations that help mission leads, engineering managers, and finance partners understand capacity posture and trade-offs. • Partnership, Influence & Enablement • Act as a technical partner to engineering teams, helping them design and operate services that are elastic, efficient, and predictable. • Mentor engineers and analysts on capacity planning best practices, modeling techniques, and how to interpret capacity signals. • Represent CCCE in cross-functional forums where cloud growth, reliability, and investment trade-offs are discussed. • Contribute to training, documentation, and office hours that make capacity planning a shared, repeatable practice across engineering. • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. • This role reports to the Director of Engineering, Developer Platforms.
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