Platform Engineering

Department Overview

McDonald’s growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3

Ds (Delivery, Digital and Drive Thru). McDonald’s will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.

McDonald’s Global Technology is here to power tomorrow’s feel-good moments. That’s why you’ll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we’re digitizing the Golden Arches. Combine that with our unparalleled global scale, and we’re reshaping all areas of the business, industry and every community that is home to a McDonald’s restaurant.

We face complex tech challenges every day. But that’s where our diverse and talented teams come in. They’re made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.

• Deliver Data Platform Solutions
• Contribute to the design and implementation of scalable, secure, and cost-effective GCP-based data platform components.
• Build and improve data pipelines, ingestion frameworks, and platform services used across analytics and data product teams.
• Support AI-Ready Platform Capabilities
• Implement platform features that enable emerging AI technologies (e.g., GenAI, LLMs, agentic AI) in areas such as monitoring, alerting, automation, and infrastructure-as-code.
• Collaborate with engineering teams supporting AI/ML solutions to ensure platform readiness for future initiatives.
• Implement Data Integration Patterns
• Apply established data integration design patterns using ETL/ELT, event streaming, and real-time processing technologies such as Dataflow, Pub/Sub, dbt, or Kafka.
• Ensure data pipelines are performant, well-tested, reliable, and aligned to platform standards.
• Participate in Design Reviews & Best Practices
• Take part in design reviews, ensuring high-quality engineering practices and consistency with defined platform standards.
• Contribute to documentation, reusable patterns, and engineering guidelines.
• Advance Cloud Engineering Skills
• Stay ahead of with new GCP capabilities and apply them to improve platform functionality, performance, and cost efficiency.
• Support continuous improvement of cloud infrastructure automation (Terraform, CI/CD, automated testing).
• Support Governance, Security, and Compliance
• Work with security, governance, and compliance teams to ensure platform components meet required controls and policies.
• Participate in vulnerability assessment remediation and operational hardening of platform services.
• Multi-functional Collaboration
• Partner with product managers, architects, data engineers, and analytics teams to deliver platform capabilities that meet business and technical requirements.
• Coordinate with cloud, infrastructure, and Dev Ops teams to ensure cohesive delivery across platform layers.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 3–5 years of experience in data platform engineering, cloud data engineering, or related roles, with hands-on experience delivering solutions on GCP (with some exposure to AWS).
• Proven experience implementing modern cloud-based data platform components supporting analytical and/or AI workloads.
• Hands-on experience with ETL/ELT, event streaming, and real-time processing frameworks (e.g., dbt, Kafka, Dataflow, Pub/Sub).
• Familiarity with emerging AI concepts as they relate to platform automation and operational efficiency.
• Strong implementation skills in CI/CD, Terraform, automated testing, and containerized workloads.
• Solid understanding of data governance, security controls, and cloud compliance requirements.
• Expe…