Cloud DevSecOps Engineer I

2 weeks ago

Chicago, United States McDonald's Full time

This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide outstanding foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, relevant, and simple experience for our customers.

The Cloud DevSecOps Engineer I, role is part of the Cloud Infrastructure and Operations team in Global Technology Infrastructure & Operations. The role works with the Director of Enterprise DevSecOps Platform and is responsible for supporting, migrating, automation and optimization of software development and deployment process while maturing the Enterprise DevSecOps program. The Cloud DevSecOps Engineer will work closely with internal and external software developers, operations engineers, and other partners to ensure that the software delivery process is efficient, secure, and scalable. You will support the Corporate, Security, Digital, Data, Restaurant, and Market application and product teams by efficiently and optimally delivering DevOps standards and services.

This is a great opportunity for an emerging technology leader to help craft the transformation of infrastructure and operations products and services to the entire McDonalds environment.

Responsibilities & Accountabilities:

Participate in the management, design, and solutioning of software development and deployment process. Guide and collaborate with vendors partnering on DevSecOps tools standardization and engineering support. Build reusable pipeline templates for automated deployment of cloud infrastructure and code. Develop and support high-quality automation workflows inside and outside the cloud platform that are appropriate for business and technology strategies. Develop and maintain infrastructure and tools that support the software development and deployment process. Build a continuous automation framework for the software development and deployment process. Monitor and troubleshoot the software delivery process. Work with software developers and operations engineers to improve the software delivery process. Stay up to date on the latest DevSecOps practices and technologies. Drive proof of concepts and conduct technical feasibility studies for business requirements. Strive to provide internal and external customers with excellent customer service and outstanding service. Effectively communicate project health, risks, and issues to the program partners, sponsors, and management teams. Resolve most conflicts between prioritization and scope independently but intuitively raise sophisticated or consequential issues to senior management. Work well in an agile environment Self-starter, able to come up with solutions to problems and complete those solutions while coordinating with other teams. Qualifications:

Basic Qualifications

2+ years of Information Technology experience Bachelor's degree or equivalent experience in information technology, or a related field or proven experience. 2+ years of application development using agile methodology. Sophisticated knowledge of application, data, and infrastructure architecture disciplines + Experience with Kubernetes, and AWS platform Hands-on knowledge of a broad range of End-to-End DevOps technologies Ability to design, develop and implement scalable, elastic microservice based platforms. Ability to help/guide team in resolving technical issues through debugging, research, and investigation. Good to have experience in working on Code Quality SAST and DAST tools like SonarQube/SonarCloud, Veracode, Checkmarx, and Snyk. Experience in container-based technologies. Any AWS Certification (preferably DevOps) Any Agile certification preferably scaled agile.

Preferred Qualifications

Knowledge of AWS and Azure and a willingness to upskill as the company’s adoption grows. Experience with Software Development Life Cycle (SDLC). Hands-on developer knowledge of an Infrastructure-as-Code and associated technologies (e.g. repos, pipelines, Terraform, etc.) Knowledge of IaaS and PaaS offerings in AWS, Azure and GCP Knowledge of Infrastructure-as-Code and associated technologies (e.g. repos, pipelines, Terraform, etc.). Previous DevSecOps and/or automation experience Experience developing scripts or automating tasks using languages such as Bash, PowerShell, Python, Perl, Ruby, etc. Good knowledge of AWS Platform preferably 2+ years AWS/Kubernetes experience 2+ years hands-on DevOps pipeline for automating, building and deploying Microservice Applications, APIs and Non-Container Artifacts 2+ years GitHub Actions, ArgoCD, Helm Charts, SonarQube 2+ years hands-on experience with CI/CD technologies including Microservices, Terraform and Pipeline creation/management (e.g., Github, Artifactory/JFROG, etc.) 2+ years working with Cloud technologies. Experience with observability tools like Datadog, New Relic and open source (O11y) observability ecosystem (Prometheus, Grafana, Jaeger) 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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