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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 -II- Full-time - McDonald's Office Location: MHQ - Global Grade: G3Job 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 II role is part of the Edge ecosystem team in Global Technology Infrastructure & Operations. The role reports to the Director, Edge Platform Engineering and 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:- Assist in the 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. - Support performance tuning, reliability improvements, and security hardening of edge environments. - Participate in implementing failover and disaster recovery strategies for edge deployments. - 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. - 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. - Build 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. - 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. - 4+ years in platform engineering, infrastructure engineering, or related discipline. - 4+ years working with Cloud technologies with good knowledge of IaaS and PaaS offerings in GCP & AWS. - 2 Years experience with edge computing or on-prem cloud environments. - Hands-on expertise with Kubernetes, Docker, and orchestration in edge or cloud environments - Exposure to virtualization technologies (VMware ESXi, KVM, Hyper-V). - Knowledge of software-defined storage concepts and basic backup/recovery strategies. - Experience with Infrastructure-as-Code tools (Terraform) and automation scripting. - 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 or equivalent experience.