Azure DevOps Engineer - Lead

Job Title: Lead DevOps Engineer (Azure, Terraform)Employment Type: Full-timeNote: This role requires relocation or flexibility to travel to Abu Dhabi (UAE) for periodic onsite client engagements (2 to 3 months)About the Role:NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps Engineer (Azure, Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud DevOps practices and a passion for implementing scalable MLOps solutions.Key Responsibilities:Design, implement, and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOpsDevelop and maintain Infrastructure-as-Code using TerraformManage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clustersEnsure cloud infrastructure is optimized, secure, and monitored effectivelyCollaborate with data science teams to support ML model deployment and operationalizationImplement MLOps best practices, including model versioning, deployment strategies (e.g., blue-green), monitoring (data drift, concept drift), and experiment tracking (e.g., MLflow)Build and maintain automated ML pipelines to streamline model lifecycle managementRequired Skills:8 to 12 years of experience in DevOps and/or MLOps rolesProficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOpsStrong expertise in Terraform, including managing and scaling infrastructure across large environmentsHands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoringStrong understanding of containerization technologies (Docker) and microservices architectureSolid grasp of cloud networking, security best practices, and observabilityScripting proficiency in Bash and PythonPreferred Skills:Experience with MLflow, TFX, Kubeflow, or SageMaker PipelinesKnowledge of model performance monitoring and ML system reliabilityFamiliarity with AWS MLOps stack or equivalent tools on Azure/GCP#J-18808-Ljbffr