Platform Engineer III [T500-22603]

About McDonald’s:

One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.

Edge Platform Engineer -III

• Full-time
• McDonald's Office Location: MHQ
• Global Grade: G4

Company Description:

McDonald’s new 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 3Ds (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.

Leading this tech revolution is McDonald’s Global Technology organization made up of intrapreneurs who get to build really cool tech with scary smart people using the latest innovations like AI, IOT, and edge computing. We do this working along diverse, global teams who are always hungry for a challenge. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.

This role will collaborate closely with segment and market leads, project managers, and Global Technology Solutions teams to ensure the reliable and efficient operation of McDonald’s Edge program platform. In addition, this role will be responsible for managing the Edge technical platform and collaborating with the various capability teams from consumer, restaurant and company platform engineering teams. This person will work closely with others in Global Technology Risk Management and other areas of Global Technology to ensure that our services are meeting the needs of markets, application teams, and other stakeholders.

Check out the Global Technology Technical Blog to learn how technology is directly enabling the Accelerating the Arches strategy.

Job Description:

This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide outstanding foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, relevant, and simple experience for our customers.

The Platform Engineer III role is part of the Edge ecosystem team in Global Technology Infrastructure & Operations. The role will play a critical role in building and maintaining the Edge computing platform that powers our global restaurant technology ecosystem. You will work closely with cross-functional engineering teams to design, implement, and support scalable, secure, and resilient Edge platform solutions. You will support the Digital, Data, Engineering, and Restaurant development teams by delivering a scalable, resilient, and secure platform pipelines and capabilities.

This is a great opportunity for an experienced technology leader to help craft the transformation of infrastructure and operations products and services to the entire McDonalds environment.

Responsibilities & Accountabilities:

• Design, develop, release and maintain edge platforms and infrastructure.
• Collaborate with platform architects, engineers and suppliers to implement scalable and modular, fault tolerant edge platform deployments.
• Optimize edge platform and underlying infrastructure for performance, reliability, and security
• Implement strategies for failover, disaster recovery, and zero-touch provisioning at the edge.
• Partner on hardware sizing and provisioning of system resources for edge workloads.
• Implement and manage virtualization and/or containerized environments for edge deployments
• Implement and manage data replication, backup, and disaster recovery strategies for edge environments.
• Design, build and implement orchestration framework for managing VM based and containerized workloads across edge clusters.
• Integrate Edge platform tools with GCP for hybrid workload deployments.
• Develop CI/CD pipelines and Infrastructure-as-Code templates for edge environments.
• Build reusable automation frameworks to streamline deployment and configuration.
• Enable self-service adoption of edge platform standards across cross-functional teams.
• Evaluate emerging edge technologies, conduct PoCs, and drive technical feasibility studies.
• Stay current on advancements in edge computing, distributed systems, and observability.
• Maintain documentation for edge platform designs, configurations and deployment processes
• Participate in platform reviews and contribute to continuous improvement initiatives.

Qualifications:

• Bachelor’s degree in computer science or related field, or equivalent experience.
• 6+ years in platform engineering or similar discipline, with 3+ years focused on edge computing or on-prem cloud.
• 5+ years working with Cloud technologies with good knowledge of IaaS and PaaS offerings in GCP & AWS.
• Hands-on expertise with Kubernetes, Docker, and orchestration in edge or cloud environments
• Familiarity with edge hardware infrastructure (servers, IoT devices) and performance tuning.
• Experience with virtualization technologies (VMware ESXi, KVM, Hyper-V) and hyperconverged infrastructure.
• Knowledge of software-defined storage systems (e.g., Ceph, Robin.io) and strategies for data replication, backup, and disaster recovery in edge environments.
• Proficiency in programming languages: Go, Python, Rust, PowerShell.
• Experience with Infrastructure-as-Code (Terraform) and automation frameworks.
• Familiarity with observability tools (Datadog, Prometheus, Grafana, Jaeger).
• Solid understanding of networking protocols, security best practices, and system performance tuning.
• Experience with cloud platforms (AWS, GCP) and hybrid edge-cloud architectures.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, ArgoCD, Helm) as supporting skills.
• Familiarity with real-time data frameworks (Apache Kafka, Flink).
• Professional certifications in GCP, AWS, or Azure.