McDonald’s Global Technology

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

Offices at McDonald’s Global Technology

McDonald’s Global Technology is headquartered in Chicago, Illinois, USA and has 9 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We believe in nurturing relationships while also offering flexibility. Please see each job description for specific details on hybrid or remote work.

Typical time on-site: Flexible

U.S. Office Locations

Global Office Locations

HQ
Chicago, Illinois, USA

Located in the heart of the West Loop, a vibrant and rapidly growing tech neighborhood, our new HQ is accessible by all forms of transportation. CTA trains and busses run nearby, while a shuttle from the Metra stations makes it easy for suburban commuters.

Australia
Germany
Singapore
United Kingdom
France

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.