McDonald’s Global Technology

HQ
Chicago, Illinois, USA
Total Offices: 8
1,400 Total Employees
Year Founded: 1955

Teams at McDonald’s Global Technology

Team

Product + Tech

What began as a small drive-in restaurant in San Bernardino, California has grown into an American icon. While much has changed over the last six decades, McDonald's values and commitment to excellence have endured and kept McDonald’s a trusted favorite. Today, McDonald's proudly serves 63 million customers every day around the globe. But there's much more to the Golden Arches than our World Famous Fries®. A dedicated team of technologists weaves together every consumer experience using the latest tools, calculated strategy and passion. Here, success doesn’t just come down to the perfect burger; rather, it’s rooted in a combination of ingenuity, fellowship and a storied reputation.

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Search the 53 jobs at McDonald’s Global Technology

eCommerce • Food • Information Technology • Mobile • Cybersecurity • App development • Big Data Analytics
The Infrastructure Engineer II will design and develop innovative software solutions aimed at enhancing restaurant systems management. Responsibilities include integrating systems, assessing architecture performance, mentoring junior members, and delivering platform improvements through the implementation of modern technology.
eCommerce • Food • Information Technology • Mobile • Cybersecurity • App development • Big Data Analytics
The Data Product Manager is responsible for managing multiple products within the Global Data & Analytics team, prioritizing backlogs, coordinating deployments, and developing domain expertise. They ensure product performance and stakeholder engagement, focusing on continuous improvement and innovation.
eCommerce • Food • Information Technology • Mobile • Cybersecurity • App development • Big Data Analytics
The Senior Manager of Detection Engineering at McDonald's will lead efforts to enhance threat detection capabilities and manage cybersecurity practices. Responsibilities include developing detection logic, collaborating with various teams to identify detection gaps, and creating automated models for threat identification and response.