Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now!
McDonald's
Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now!
Job Description
Integration Engineer - Platform Engineer, Real Time Event Streaming at McDonald's
Join McDonald's Global Technology team as an Integration Engineer - Platform Engineer specializing in real-time event streaming. This senior-level role offers the chance to work on cutting-edge streaming platforms powering McDonald's Accelerating the Arches strategy. With 65M+ daily customers relying on fast, seamless digital experiences, you'll build the data pipelines that make it all possible.
Why Join McDonald's Technology Team?
McDonald's isn't just the world's leading quick-service restaurant—it's a technology powerhouse. Our Global Technology organization is at the forefront of AI, robotics, and real-time data processing. As we double down on Delivery, Digital, and Drive-Thru, we're seeking elite engineers to architect next-generation event streaming platforms. Work with Apache Kafka, Confluent Cloud, AWS MSK, and more to handle massive data volumes from 25,000+ locations worldwide.
Key Responsibilities of the Integration Platform Engineer
In this pivotal role, you'll design, build, and operate real-time streaming pipelines that power critical business applications. Expect to dive deep into Kafka ecosystem technologies, implement event-driven architectures, and ensure platform reliability at global scale. Daily tasks include optimizing Kafka topics, developing stream processing apps with ksqlDB and Flink, and automating deployments via Terraform and CI/CD.
Technical Deep Dive: Real-Time Event Streaming at McDonald's
Our platform handles petabytes of event data daily—from order processing and inventory management to customer personalization and predictive analytics. You'll implement robust monitoring with Prometheus/Grafana, set up alerting via PagerDuty, and enforce security through RBAC and encryption. Collaboration is key: partner with data engineers on schema evolution, DevOps on infrastructure, and product teams on API integrations.
Required Skills and Qualifications
Senior candidates need 5+ years mastering Kafka ecosystems, cloud streaming services (AWS MSK, GCP Pub/Sub), and IaC practices. Proficiency in stream processing (Kafka Streams, Flink) and schema registries is essential. Bonus points for experience with McDonald's scale: handling millions of events per second with 99.99% uptime.
Career Growth and Impact
This isn't just a job—it's a career-defining opportunity. Contribute to McDonald's technical blog, speak at industry conferences, and shape the future of restaurant technology. With our global presence, advance to leadership roles in data platforms, cloud architecture, or AI engineering.
McDonald's Technology Stack Highlights
- Streaming Core: Apache Kafka, Confluent Cloud, AWS MSK, Google Pub/Sub
- Processing: ksqlDB, Kafka Streams, Apache Flink
- Infrastructure: Terraform, Kubernetes, CI/CD (Jenkins/GitHub Actions)
- Observability: Prometheus, Grafana, ELK Stack
- Cloud: AWS, GCP, Azure multi-cloud strategy
Day in the Life of a Platform Engineer
Start with stand-up reviewing incidents from overnight peaks. Dive into optimizing a Kafka cluster for Drive-Thru order streaming. Lunchtime code review on a new Flink job for delivery predictions. Afternoon: collaborate on schema changes for loyalty program events. End with capacity planning for Black Friday surges. Remote-friendly with core collaboration hours.
Locations and Work Arrangements
Primary hub in Chicago, IL with remote options across USA major tech hubs. Hybrid model balances collaboration and flexibility.
Salary and Compensation Insights
Competitive senior-level pay reflects McDonald's tech leadership. Total compensation includes base, bonus, equity, and comprehensive benefits package.
Application Process
Apply now to join the team powering tomorrow's customer moments. Technical interviews cover Kafka deep-dives, system design, and live coding. Background in high-scale streaming environments preferred.
McDonald's Global Technology: Where technology meets golden arches. Read our Technical Blog for latest innovations.
Locations
- Chicago, Illinois, USA
- New York, New York, USA (Remote)
- San Francisco, California, USA (Remote)
- Austin, Texas, USA (Remote)
Salary
147,000 - 209,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Apache Kafkaintermediate
- Confluent Cloudintermediate
- AWS MSKintermediate
- Google Cloud Pub/Subintermediate
- Kafka Streamsintermediate
- ksqlDBintermediate
- Apache Flinkintermediate
- Terraformintermediate
- CI/CD Pipelinesintermediate
- Infrastructure as Code (IaC)intermediate
- Event-Driven Architectureintermediate
- Schema Registryintermediate
- RBAC Implementationintermediate
- Data Encryptionintermediate
- Monitoring & Alertingintermediate
- Stream Processingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 5+ years of experience with real-time data streaming platforms like Apache Kafka (experience)
- Hands-on expertise with Confluent Cloud, AWS MSK, or Google Cloud Pub/Sub (experience)
- Proven experience building and operating Kafka topics, producers, and consumers (experience)
- Strong knowledge of stream processing technologies (Kafka Streams, ksqlDB, Flink) (experience)
- Experience with Infrastructure as Code tools like Terraform (experience)
- Proficiency in CI/CD pipelines and automation for cloud platforms (experience)
- Deep understanding of event-driven architectures and schema management (experience)
- Experience implementing monitoring, alerting, and observability for streaming systems (experience)
- Knowledge of security best practices including RBAC, encryption, and data governance (experience)
- Strong collaboration skills with cross-functional teams (DevOps, data engineers, product) (experience)
- Ability to troubleshoot complex distributed systems and performance issues (experience)
Responsibilities
- Design and implement scalable real-time data streaming pipelines using Apache Kafka and Confluent Cloud
- Manage AWS MSK clusters and Google Cloud Pub/Sub for high-throughput event streaming
- Develop and maintain Kafka topics, schemas, producers, consumers, and stream processing applications
- Build event-driven integration patterns for internal systems and customer-facing APIs
- Collaborate with application teams to define event schemas and implement schema registry best practices
- Implement comprehensive monitoring, alerting, and observability solutions for Kafka infrastructure
- Partner with security teams to enforce RBAC, data retention policies, encryption, and regulatory compliance
- Automate platform provisioning and configuration using Terraform and Infrastructure as Code practices
- Optimize deployment processes for real-time streaming platforms ensuring reliable data flow
- Troubleshoot and resolve performance issues, incidents, and scalability challenges in production
- Conduct capacity planning and performance tuning for streaming data pipelines
- Document integration patterns, architectures, and operational procedures for team knowledge sharing
Benefits
- general: Competitive salary with annual performance bonuses
- general: Comprehensive medical, dental, and vision insurance plans
- general: 401(k) retirement savings plan with company matching
- general: Paid time off including vacation, sick days, and holidays
- general: Flexible work arrangements including remote work options
- general: Professional development budget for certifications and conferences
- general: Tuition reimbursement for advanced degrees and technical training
- general: Employee stock purchase plan with discounts
- general: Free meals and food perks at McDonald's locations worldwide
- general: Wellness programs including gym memberships and mental health support
- general: Parental leave and family-friendly benefits
- general: Global career mobility opportunities within McDonald's technology organization
Tags & Categories
Answer 10 quick questions to check your fit for Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now! @ McDonald's.
Related Books and Jobs
Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now!
McDonald's
Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now!
Job Description
Integration Engineer - Platform Engineer, Real Time Event Streaming at McDonald's
Join McDonald's Global Technology team as an Integration Engineer - Platform Engineer specializing in real-time event streaming. This senior-level role offers the chance to work on cutting-edge streaming platforms powering McDonald's Accelerating the Arches strategy. With 65M+ daily customers relying on fast, seamless digital experiences, you'll build the data pipelines that make it all possible.
Why Join McDonald's Technology Team?
McDonald's isn't just the world's leading quick-service restaurant—it's a technology powerhouse. Our Global Technology organization is at the forefront of AI, robotics, and real-time data processing. As we double down on Delivery, Digital, and Drive-Thru, we're seeking elite engineers to architect next-generation event streaming platforms. Work with Apache Kafka, Confluent Cloud, AWS MSK, and more to handle massive data volumes from 25,000+ locations worldwide.
Key Responsibilities of the Integration Platform Engineer
In this pivotal role, you'll design, build, and operate real-time streaming pipelines that power critical business applications. Expect to dive deep into Kafka ecosystem technologies, implement event-driven architectures, and ensure platform reliability at global scale. Daily tasks include optimizing Kafka topics, developing stream processing apps with ksqlDB and Flink, and automating deployments via Terraform and CI/CD.
Technical Deep Dive: Real-Time Event Streaming at McDonald's
Our platform handles petabytes of event data daily—from order processing and inventory management to customer personalization and predictive analytics. You'll implement robust monitoring with Prometheus/Grafana, set up alerting via PagerDuty, and enforce security through RBAC and encryption. Collaboration is key: partner with data engineers on schema evolution, DevOps on infrastructure, and product teams on API integrations.
Required Skills and Qualifications
Senior candidates need 5+ years mastering Kafka ecosystems, cloud streaming services (AWS MSK, GCP Pub/Sub), and IaC practices. Proficiency in stream processing (Kafka Streams, Flink) and schema registries is essential. Bonus points for experience with McDonald's scale: handling millions of events per second with 99.99% uptime.
Career Growth and Impact
This isn't just a job—it's a career-defining opportunity. Contribute to McDonald's technical blog, speak at industry conferences, and shape the future of restaurant technology. With our global presence, advance to leadership roles in data platforms, cloud architecture, or AI engineering.
McDonald's Technology Stack Highlights
- Streaming Core: Apache Kafka, Confluent Cloud, AWS MSK, Google Pub/Sub
- Processing: ksqlDB, Kafka Streams, Apache Flink
- Infrastructure: Terraform, Kubernetes, CI/CD (Jenkins/GitHub Actions)
- Observability: Prometheus, Grafana, ELK Stack
- Cloud: AWS, GCP, Azure multi-cloud strategy
Day in the Life of a Platform Engineer
Start with stand-up reviewing incidents from overnight peaks. Dive into optimizing a Kafka cluster for Drive-Thru order streaming. Lunchtime code review on a new Flink job for delivery predictions. Afternoon: collaborate on schema changes for loyalty program events. End with capacity planning for Black Friday surges. Remote-friendly with core collaboration hours.
Locations and Work Arrangements
Primary hub in Chicago, IL with remote options across USA major tech hubs. Hybrid model balances collaboration and flexibility.
Salary and Compensation Insights
Competitive senior-level pay reflects McDonald's tech leadership. Total compensation includes base, bonus, equity, and comprehensive benefits package.
Application Process
Apply now to join the team powering tomorrow's customer moments. Technical interviews cover Kafka deep-dives, system design, and live coding. Background in high-scale streaming environments preferred.
McDonald's Global Technology: Where technology meets golden arches. Read our Technical Blog for latest innovations.
Locations
- Chicago, Illinois, USA
- New York, New York, USA (Remote)
- San Francisco, California, USA (Remote)
- Austin, Texas, USA (Remote)
Salary
147,000 - 209,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Apache Kafkaintermediate
- Confluent Cloudintermediate
- AWS MSKintermediate
- Google Cloud Pub/Subintermediate
- Kafka Streamsintermediate
- ksqlDBintermediate
- Apache Flinkintermediate
- Terraformintermediate
- CI/CD Pipelinesintermediate
- Infrastructure as Code (IaC)intermediate
- Event-Driven Architectureintermediate
- Schema Registryintermediate
- RBAC Implementationintermediate
- Data Encryptionintermediate
- Monitoring & Alertingintermediate
- Stream Processingintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
- 5+ years of experience with real-time data streaming platforms like Apache Kafka (experience)
- Hands-on expertise with Confluent Cloud, AWS MSK, or Google Cloud Pub/Sub (experience)
- Proven experience building and operating Kafka topics, producers, and consumers (experience)
- Strong knowledge of stream processing technologies (Kafka Streams, ksqlDB, Flink) (experience)
- Experience with Infrastructure as Code tools like Terraform (experience)
- Proficiency in CI/CD pipelines and automation for cloud platforms (experience)
- Deep understanding of event-driven architectures and schema management (experience)
- Experience implementing monitoring, alerting, and observability for streaming systems (experience)
- Knowledge of security best practices including RBAC, encryption, and data governance (experience)
- Strong collaboration skills with cross-functional teams (DevOps, data engineers, product) (experience)
- Ability to troubleshoot complex distributed systems and performance issues (experience)
Responsibilities
- Design and implement scalable real-time data streaming pipelines using Apache Kafka and Confluent Cloud
- Manage AWS MSK clusters and Google Cloud Pub/Sub for high-throughput event streaming
- Develop and maintain Kafka topics, schemas, producers, consumers, and stream processing applications
- Build event-driven integration patterns for internal systems and customer-facing APIs
- Collaborate with application teams to define event schemas and implement schema registry best practices
- Implement comprehensive monitoring, alerting, and observability solutions for Kafka infrastructure
- Partner with security teams to enforce RBAC, data retention policies, encryption, and regulatory compliance
- Automate platform provisioning and configuration using Terraform and Infrastructure as Code practices
- Optimize deployment processes for real-time streaming platforms ensuring reliable data flow
- Troubleshoot and resolve performance issues, incidents, and scalability challenges in production
- Conduct capacity planning and performance tuning for streaming data pipelines
- Document integration patterns, architectures, and operational procedures for team knowledge sharing
Benefits
- general: Competitive salary with annual performance bonuses
- general: Comprehensive medical, dental, and vision insurance plans
- general: 401(k) retirement savings plan with company matching
- general: Paid time off including vacation, sick days, and holidays
- general: Flexible work arrangements including remote work options
- general: Professional development budget for certifications and conferences
- general: Tuition reimbursement for advanced degrees and technical training
- general: Employee stock purchase plan with discounts
- general: Free meals and food perks at McDonald's locations worldwide
- general: Wellness programs including gym memberships and mental health support
- general: Parental leave and family-friendly benefits
- general: Global career mobility opportunities within McDonald's technology organization
Tags & Categories
Answer 10 quick questions to check your fit for Integration Engineer - Platform Engineer, Real Time Event Streaming Careers at McDonald's - Chicago, Illinois | Apply Now! @ McDonald's.
Related Books and Jobs