Integration Engineer - Platform Engineer, Real Time Event Streaming

Company Description:
McDonald's 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.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time.Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant.We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
We are seeking a highly skilled Integration Platform Engineer part of our real time event streaming team to join our growing Data& Integration Platform Engineering team. 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.
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.

Additional Responsibilities

• 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.

Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
Salary Ranges- $129,800.00 - $165,490.00
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 [email protected]. 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 (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.