Platform Engineer II

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.