NorthBay Solutions

Azure DevOps Engineer - Lead

Devops - Dubai, Dubai, United Arab Emirates - Full Time

Job Title: Lead DevOps Engineer (Azure, Terraform)
Employment Type: Full-time
Location: Abu Dhabi (UAE)
 

Note: This role requires flexibility to relocate to Abu Dhabi (UAE) for onsite client requirements.

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 DevOps
  • Develop and maintain Infrastructure-as-Code using Terraform
  • Manage and scale container orchestration environments using Kubernetes, including experience with larger production-grade clusters
  • Ensure cloud infrastructure is optimized, secure, and monitored effectively
  • Collaborate with data science teams to support ML model deployment and operationalization
  • Implement 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 management

Required Skills:

  • 8 to 12 years of experience in DevOps and/or MLOps roles
  • Proficient in CI/CD tools: Jenkins, GitHub Actions, Azure DevOps
  • Strong expertise in Terraform, including managing and scaling infrastructure across large environments
  • Hands-on experience with Kubernetes in larger clusters, including workload distribution, autoscaling, and cluster monitoring
  • Strong understanding of containerization technologies (Docker) and microservices architecture
  • Solid grasp of cloud networking, security best practices, and observability
  • Scripting proficiency in Bash and Python

Preferred Skills:

  • Experience with MLflow, TFX, Kubeflow, or SageMaker Pipelines
  • Knowledge of model performance monitoring and ML system reliability
  • Familiarity with AWS MLOps stack or equivalent tools on Azure/GCP
Apply: Azure DevOps Engineer - Lead
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