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Azure DevOps Engineer - Lead

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Description

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

Required Experience:

Senior IC

Key Skills
Administrative Skills,Facilities Management,Biotechnology,Creative Production,Design And Estimation,Architecture
Experience: years
Vacancy: 1

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