McDonald's
Integration Platform – Platform Engineer, Real Time Event Streaming
McDonald's, Chicago, Illinois, United States, 60290
Overview
Direct message the job poster from McDonald’s McDonald’s Corporation has corporate opportunities in Chicago. 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. We are seeking a highly skilled Integration Platform Engineer to join our real-time event streaming team within the Data & Integration Platform Engineering group. This role will be pivotal in designing, building, and supporting our next-generation real-time event streaming and processing platform. You will work closely with data engineers, DevOps, and product teams to ensure scalable, reliable, and secure integration patterns for streaming data pipelines that power critical business applications. Location: Chicago, IL • Salary: $110,000.00-$130,000.00 Responsibilities
Design, implement, and operate real-time data streaming pipelines using Apache Kafka and Confluent Cloud, AWS MSK, Google Cloud Pub/Sub or similar technologies. Implement and optimize deployment processes for real-time streaming platforms, ensuring efficient, reliable data flow. Develop and maintain Kafka topics, schemas, producers, consumers, and stream processing applications (e.g., ksqlDB, Kafka Streams, Flink). Build event-driven integration patterns that serve both internal systems and customer-facing APIs. Collaborate with application teams to define event schemas and implement schema registry best practices. Implement robust monitoring, alerting, and observability for Kafka infrastructure and data flows to ensure platform stability and promptly address performance issues and incidents. Partner with cloud, security, and data governance teams to enforce RBAC, data retention, encryption, and ensure compliance with regulatory standards. Automate platform provisioning and configuration using Terraform, CI/CD pipelines, and Infrastructure as Code (IaC) best practices. Identify and address performance bottlenecks to improve system reliability, scalability, and responsiveness. Work closely with data engineering, DevOps, and analytics teams to align streaming solutions with business needs. Document infrastructure setups, configurations, and fixing guides to improve team knowledge and consistency. Design, build and maintain SDK for event streaming platform. Establish and build an application onboarding process and framework for event streaming. Support MFT and API management platforms. Qualifications
5+ years of experience in data engineering, platform engineering, or integration engineering roles. Strong expertise in Apache Kafka ecosystem, with production experience using Confluent Cloud or platform experience with real-time streaming platforms (e.g., Apache Kafka, AWS Kinesis, Google Pub/Sub) and event-driven architectures. Experience designing scalable event-driven architectures and real-time data ingestion solutions. Proficiency in Terraform, CI/CD pipelines (e.g., GitLab, Jenkins), and scripting languages (Python, Shell). Hands-on experience with Confluent Cloud, AWS MSK and cloud-native services (GCP or AWS preferred). Experience with Kafka monitoring tools and observability frameworks. Strong understanding of stream processing, message durability, partitioning, and exactly-once semantics. Experience working with schema registry, Avro/JSON/Protobuf, and topic versioning. Excellent problem-solving and communication skills. Additional Information
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance. Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan. McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy, race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.
#J-18808-Ljbffr
Direct message the job poster from McDonald’s McDonald’s Corporation has corporate opportunities in Chicago. 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. We are seeking a highly skilled Integration Platform Engineer to join our real-time event streaming team within the Data & Integration Platform Engineering group. This role will be pivotal in designing, building, and supporting our next-generation real-time event streaming and processing platform. You will work closely with data engineers, DevOps, and product teams to ensure scalable, reliable, and secure integration patterns for streaming data pipelines that power critical business applications. Location: Chicago, IL • Salary: $110,000.00-$130,000.00 Responsibilities
Design, implement, and operate real-time data streaming pipelines using Apache Kafka and Confluent Cloud, AWS MSK, Google Cloud Pub/Sub or similar technologies. Implement and optimize deployment processes for real-time streaming platforms, ensuring efficient, reliable data flow. Develop and maintain Kafka topics, schemas, producers, consumers, and stream processing applications (e.g., ksqlDB, Kafka Streams, Flink). Build event-driven integration patterns that serve both internal systems and customer-facing APIs. Collaborate with application teams to define event schemas and implement schema registry best practices. Implement robust monitoring, alerting, and observability for Kafka infrastructure and data flows to ensure platform stability and promptly address performance issues and incidents. Partner with cloud, security, and data governance teams to enforce RBAC, data retention, encryption, and ensure compliance with regulatory standards. Automate platform provisioning and configuration using Terraform, CI/CD pipelines, and Infrastructure as Code (IaC) best practices. Identify and address performance bottlenecks to improve system reliability, scalability, and responsiveness. Work closely with data engineering, DevOps, and analytics teams to align streaming solutions with business needs. Document infrastructure setups, configurations, and fixing guides to improve team knowledge and consistency. Design, build and maintain SDK for event streaming platform. Establish and build an application onboarding process and framework for event streaming. Support MFT and API management platforms. Qualifications
5+ years of experience in data engineering, platform engineering, or integration engineering roles. Strong expertise in Apache Kafka ecosystem, with production experience using Confluent Cloud or platform experience with real-time streaming platforms (e.g., Apache Kafka, AWS Kinesis, Google Pub/Sub) and event-driven architectures. Experience designing scalable event-driven architectures and real-time data ingestion solutions. Proficiency in Terraform, CI/CD pipelines (e.g., GitLab, Jenkins), and scripting languages (Python, Shell). Hands-on experience with Confluent Cloud, AWS MSK and cloud-native services (GCP or AWS preferred). Experience with Kafka monitoring tools and observability frameworks. Strong understanding of stream processing, message durability, partitioning, and exactly-once semantics. Experience working with schema registry, Avro/JSON/Protobuf, and topic versioning. Excellent problem-solving and communication skills. Additional Information
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance. Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald’s long-term incentive plan. McDonald’s is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald’s provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact mcdhrbenefits@us.mcd.com. Reasonable accommodations will be determined on a case-by-case basis. McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy, race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. Nothing in this job posting or description should be construed as an offer or guarantee of employment.
#J-18808-Ljbffr