Devops Engineer (CI/CD, Github actions, Docker, Kubernetes)

Scope: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.what you will do: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.What we are looking for: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 ValuesIf 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 ValuesAll 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.