Global Data Center Logistics Specialist

WebHosting; Washington; On-site; USD 90,000 - 130,000; Full time

Job summary

Cloudflare in the United States is seeking a logistics professional to coordinate data center hardware distribution and delivery across global sites. You will collaborate with internal teams and external vendors to ensure efficient warehousing, transport, and reverse logistics.

The role requires a technical or business background, 3+ years in global supply chains, and hands-on experience with Python, AI tooling, and data analytics to drive improvements in a fast-moving environment.

Qualifications

• Post-secondary degree in a technical or business management field.
• A minimum of 3 years of experience working with global supply chains and logistics is necessary.
• Ability to be proactive with ability to learn fast and execute on multiple tasks simultaneously.
• Ability to recognize areas for improvements in operational processes in a rapidly changing environment.
• Python, LLM usage and AI tooling experience.
• Possess strong verbal and written communication skills, problem-solving skills, attention to detail, and interpersonal skills.

Responsibilities

• Coordinate the distribution and delivery of data center hardware to and from our data centers within the region.
• Develop and implement consistent processes and performance measurements, utilizing BI and AI tools.
• Support data center expansions, hardware renewals, reverse logistics and spare parts fulfillment.

Skills

Global supply chains

Logistics

Python

AI tooling

Data analysis

Communication

Education

Bachelor's degree in technical or business management

Tools

Power BI

Excel

SQL

Job description

Cloudflare in the United States is seeking a logistics professional to coordinate data center hardware distribution and delivery across global sites. You will collaborate with internal teams and external vendors to ensure efficient warehousing, transport, and reverse logistics.

The role requires a technical or business background, 3+ years in global supply chains, and hands-on experience with Python, AI tooling, and data analytics to drive improvements in a fast-moving environment.