Job description

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. Role Summary: As a Platform Engineer, you will build and operate the real-time streaming platform that powers event-driven data movement across McDonald’s enterprise systems. You will work hands-on with Confluent Cloud, Google Cloud Pub/Sub, and Amazon MSK to deliver reliable, scalable, and observable streaming solutions in a high-volume, global environment. This role is ideal for engineers with 3–5 years of experience who want to deepen their expertise in event-driven architecture, streaming infrastructure, and platform operations within a modern, cloud-native ecosystem Key Responsibilities • Design, build, and support event-driven and real-time streaming solutions using Confluent Cloud, GCP Pub/Sub, and Amazon MSK Implement and operate Kafka topics, partitions, consumer groups, and schemas to ensure scalability, reliability, and data integrity. • Define and enforce event schema standards, including schema registry usage, compatibility rules, and versioning strategies. • Support onboarding of streaming use cases, including topic configuration, access controls, schema validation, and observability setup. • Apply delivery semantics, idempotency, and retry strategies to ensure reliable event processing. • Operate and support streaming platforms in production, including monitoring, alerting, incident response, and root cause analysis. • Collaborate with platform and operations teams to improve automation, reliability, and cost efficiency of streaming infrastructure. • Contribute to documentation, runbooks, and continuous improvement of platform standards and operational practices. Qualifications • Experience operating streaming workloads in cloud environments (GCP and/or AWS). • Familiarity with scripting or automation (Python, Bash) and infrastructure concepts. • Experience with Kafka Connect and managed connectors (non-CDC use cases). • Exposure to stream processing tools (e.g., ksqlDB / Apache Flink). • Experience with monitoring and observability tools for streaming platforms (e.g., Prometheus, Grafana, Datadog). • Understanding of platform security, access controls, and data governance concepts. • Experience supporting multi-region or multi-cloud streaming architectures. McDonald’s is the world’s leading global foodservice retailer with over 40,000 locations in over 100 countries. Approximately 95% of McDonald’s restaurants worldwide are owned and operated by independent local business owners. At McDonald’s, we lead through our values centered on inclusivity, service, integrity, community, and family. Here is your chance to get in on something special as we grow our corporate team in India and allow you to grow your career.

Requirements

Must-haves

Define and enforce event schema standards, including schema registry usage, compatibility rules, and versioning strategies.
Support onboarding of streaming use cases, including topic configuration, access controls, schema validation, and observability setup.
Apply delivery semantics, idempotency, and retry strategies to ensure reliable event processing.
Operate and support streaming platforms in production, including monitoring, alerting, incident response, and root cause analysis.
Collaborate with platform and operations teams to improve automation, reliability, and cost efficiency of streaming infrastructure.
Contribute to documentation, runbooks, and continuous improvement of platform standards and operational practices.
Experience operating streaming workloads in cloud environments (GCP and/or AWS).
Familiarity with scripting or automation (Python, Bash) and infrastructure concepts.
Experience with Kafka Connect and managed connectors (non-CDC use cases).
Exposure to stream processing tools (e.g., ksqlDB / Apache Flink).
Experience with monitoring and observability tools for streaming platforms (e.g., Prometheus, Grafana, Datadog).
Understanding of platform security, access controls, and data governance concepts.
Experience supporting multi-region or multi-cloud streaming architectures.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

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