- The DevOps Engineer is responsible for designing, building, and operating a scalable, reliable, and cost-efficient Machine Learning (ML) platform that supports real-time data ingestion, large-scale model training, and high-volume model serving.
- This role partners closely with data science, product, and engineering teams to enable rapid experimentation, seamless deployment, and production-grade operations for ML solutions in a retail execution environment.
Design, architect, implement, and operate cloud-native infrastructure for the Execution Machine Learning platform.
Identify inefficiencies in cost, scalability, performance, and reliability; propose and implement improved solutions.
Build and maintain CI/CD pipelines using GitHub Actions or similar tools.
Implement and manage infrastructure as code (IaC) using Terraform.
Manage and optimize Azure cloud services, including AKS, Virtual Networks, Storage Accounts, and Key Vault.
Collaborate with data scientists to design scalable solutions for model development, training, deployment, and serving.
Support containerized workloads using Docker and Kubernetes.
Design and support real-time data pipelines and streaming architectures using Kafka and cloud integrations.
Develop and maintain Python-based automation, tooling, and platform components.
Ensure platform security, observability, reliability, and operational excellence.
Design, architect, implement, and operate cloud-native infrastructure for the Execution Machine Learning platform.
Identify inefficiencies in cost, scalability, performance, and reliability; propose and implement improved solutions.
Build and maintain CI/CD pipelines using GitHub Actions or similar tools.
Implement and manage infrastructure as code (IaC) using Terraform.
Manage and optimize Azure cloud services, including AKS, Virtual Networks, Storage Accounts, and Key Vault.
Collaborate with data scientists to design scalable solutions for model development, training, deployment, and serving.
Support containerized workloads using Docker and Kubernetes.
Design and support real-time data pipelines and streaming architectures using Kafka and cloud integrations.
Develop and maintain Python-based automation, tooling, and platform components.
Ensure platform security, observability, reliability, and operational excellence.
Our Values
If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Top Skills
What We Do
Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential
Blue Yonder’s tagline “Fulfill Your Potential” reflects the company’s mission to empower every organization and person on the planet to fulfill their potential. Each day, our global teams of associates and business partners work together to accelerate global economic growth, increase sustainability and prosperity with a Sonoran Spirit.
