Capacity Engineer

Cloudflare • San Francisco, CA

1d

About The Position

The Demand Planning team works across traffic forecasting, infrastructure strategy, and operational execution. It predicts when, where, and how many servers to deploy across Cloudflare’s global edge so customer traffic stays in-region. This is a planning and engineering role focused on building models, owning data, and translating forecasts into deployment decisions.

The Capacity Engineer owns one or more planning regions end-to-end with light supervision. The role includes maintaining planning models, identifying issues before they become incidents, working with hardware sourcing and infrastructure teams, and contributing to the data pipelines that support planning. The engineer serves as the point of contact for their region and contributes to consistency across regions while developing toward full autonomy. AI tooling, including OpenCode AI and MAS agent workflows, is a normal part of the team’s planning work.

The role is based in Austin, Texas. Applicants who progress to the offer stage may be asked to attend an in-person interview at a Cloudflare office or hub. The position may require access to information protected by U.S. export control laws; an offer may be conditioned on authorization to receive controlled software or technology without sponsorship for an export license.

Requirements

• 3–5 years of experience in an analytical, planning, or technical infrastructure role.
• Working SQL proficiency, including querying and joining datasets in BigQuery.
• Python proficiency for data analysis, scripting, and automation of planning workflows, with comfort using Jupyter notebooks for day-to-day analysis.
• Comfort working with large infrastructure datasets and translating them into decisions.
• Clear written and verbal communication, including the ability to explain capacity recommendations to finance partners and network engineers.
• Demonstrated ability to own a workstream end-to-end with light supervision.

Responsibilities

• Own one or more edge planning regions end-to-end and produce 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 for regional planning using BigQuery, Python, and Jupyter notebooks to query, explore, and validate planning data.
• Work with hardware sourcing, DCS, and infrastructure teams to translate forecasts into actionable deployment plans.
• Identify capacity risks in the assigned region and surface them before they require escalation.
• Use OpenCode AI and MAS agent tooling as part of the daily planning workflow.
• Contribute to cross-regional consistency through shared methodology and standards.
• Participate in planning reviews and clearly communicate forecast outputs to non-technical stakeholders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed