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Cloudflare is seeking a Capacity Engineer to join the Demand Planning team, which sits at the intersection of traffic forecasting, infrastructure strategy, and operational execution. This is a planning and engineering role—not a reporting function—where you will build models, own data, and translate forecasts into real deployment decisions.
You will own one or more planning regions end-to-end with light supervision. Your responsibilities include maintaining regional planning models, catching capacity problems before they become incidents, working directly with hardware sourcing and infrastructure teams, and contributing to the data pipelines that feed your planning work. You will be the point of contact for your region, running the work rather than supporting a more senior planner.
Cloudflare's network spans hundreds of cities and carries a meaningful fraction of global internet traffic. The planning decisions this team makes have direct consequences at scale. The Demand Planning team is actively transitioning from manual planning toward intelligent, automated, AI-augmented capacity systems, and this role puts you at the center of that shift.
Key responsibilities:
- Own one or more edge planning regions end-to-end, producing deployment recommendations with minimal supervision
- Maintain and continuously improve regional planning models, incorporating new traffic patterns, hardware generations, and infrastructure changes
- Build and maintain data pipelines using BigQuery, Python, and Jupyter notebooks to query, explore, and validate planning data
- Work directly with hardware sourcing, data center, and infrastructure teams to translate forecasts into actionable deployment plans
- Proactively identify capacity risks in your region and surface them before escalation is needed
- Use OpenCode AI and MAS agent tooling as a standard part of your daily planning workflow
- Contribute to cross-regional consistency efforts alongside peers—shared methodology and standards
- Participate in planning reviews and communicate forecast outputs clearly to non-technical stakeholders
You will work on genuinely hard problems with teammates who take the craft seriously, in a team small enough that your work is visible and your contributions matter from day one. You will work fluently with AI tooling as a normal part of how planning gets done on this team.
Requirements:
- 3–5 years of experience in an analytical, planning, or technical infrastructure role
- Working SQL proficiency—comfortable querying and joining datasets in BigQuery to answer planning questions
- Python proficiency—data analysis, scripting, and automation of planning workflows; comfortable working in Jupyter notebooks as a day-to-day analysis environment
- Comfort working with large infrastructure datasets and translating them into decisions
- Clear written and verbal communication—ability to explain a capacity recommendation to finance partners or network engineers without losing either audience
- Demonstrated ability to own a workstream end-to-end with light supervision
