Job Description

Company Description:

McDonald’s new 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 4Ds (Delivery, Digital and Drive Thru and Development). 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.

Leading this tech revolution is McDonald’s Global Technology organization made up of intrapreneurs who get to build really cool tech with scary smart people using the latest innovations like AI, IOT, and edge computing. We do this working along diverse, global teams who are always hungry for a challenge. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.

As we have matured as an engineering organization and seen the demands for technology grow exponentially, we’re gearing up to deliver on the next set of opportunities for the business. We are building up an engineering team in house accountable for our strategic products. We’ll have diverse squads made up of engineers with traditional and specialized skillsets, both from internal engineers coupled with our partners, to help us flex with demand and solve technology innovation challenges done at an incredible scale.

Check out the Global Technology Technical Blog to learn how technology is directly enabling the Accelerating the Arches strategy.

We are an equal opportunity employer committed to the diversity of our crew members, staff, operators, and suppliers. We promote an inclusive work environment that creates feel-good moments for everyone. We are interested in people who enhance our company culture: Does this role interest you? We encourage you to apply even if you don’t meet every single requirement!

Job Description:

McDonald’s is in search of a Data Engineer with a strong background in DevOps engineering.  The ideal candidate should possess extensive expertise in cloud infrastructure management and solutions, with an emphasis on AWS.  In this role, your primary responsibilities will include optimizing our cloud data platform, managing, and enhancing CI/CD/CT pipelines, optimizing platform run cost, and guaranteeing optimal cloud infrastructure performance in terms of scalability, efficiency, and security.  Working in close collaboration with our data solution architecture and engineering teams, you will employ your deep knowledge of AWS services, automation, and agile methodologies, leading to cross-team data-driven success. 

Responsibilities:

  • Play a pivotal role in designing, implementing, and managing infrastructure as code, ensuring scalable and robust data warehousing solutions.
  • Develop and optimize cloud architecture primarily on AWS and, where applicable, Azure.
  • Oversee the deployment, scaling, and management of data analytics platforms such as Talend, Microstrategy, Tableau, and Alteryx.
  • Implement CI/CD/CT pipelines using tools like Jenkins, GitHub, OpenTest and SonarQube, using Terraform scripting to ensure issue free deployments.
  • Monitor the health and performance of platforms, implementing necessary optimizations and troubleshoot issues as they arise.
  • Collaborate closely with the data solution architects and data engineering teams to ensure infrastructure aligns with project goals and requirements.
  • Ensure that all data and infrastructure deployments comply with enterprise security and access best practices and standards.
Qualifications:
  • Bachelor's degree in information technology, or a related field.
  • 5+ years of experience in a DevOps role with a focus on infrastructure as code and cloud architecture.
  • 5+ years of experience with cloud services like AWS, AZURE, or GCP - AWS preferred.
  • 5+ years of proficiency with AWS including EC2, EMR, S3, Kinesis, Kafka, Redshift, RDS Databases, Cloudwatch, Cloudtrail, Step Functions, IAMs, and Snowflake -Familiarity with Azure is a plus.
  • 3+ years of CI/CD/CT experience with one or many of these technologies - Jenkins, JFrog, GitHub, GitHub actions, Code commit, SonarQube, Veracode, OpenTest, AWS cloud native DevOps services.
  • 3+ years of professional experience in ETL tools such as Talend or Informatica a plus.
  • Understanding of network protocols, Routing tables, VPNs, DNS, load balancing, and firewall management.
  • AWS Solution Architecture Associate certification, AWS DevOps certification or equivalent experience.
  • Experience with Terraform, Cloudformation, or Ansible.
  • Excellent written, verbal, and meeting facilitation skills.

Preferred Skills:

  • Ability to troubleshoot and resolve complex issues in high-pressure situations.
  • Familiarity with agile methodologies and experience working in Scrum teams, familiarity with JIRA, Confluence, SharePoint, TEAMS, Service Café.
  • Self-driven with ability to set priorities and mentor others in a performance driven environment.
  • Ability to make the appropriate recommendations based on the AWS Well-Architected framework and best practices for multiple AWS services.
  • Proficiency in scripting languages such as Python or Bash for automation tasks.
  • Containers & Orchestration: Experience with containerization technologies like Docker and orchestration platforms such as Kubernetes.
  • Develop and deploy resilient and highly available cloud-based solutions to ensure uninterrupted services for critical applications.
Additional Information:

McDonald’s is committed to providing qualified individuals with disabilities reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact recruiting.supportteam@us.mcd.com

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.

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