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Azure DevOps Engineer - Lead

Job in Abu Dhabi, UAE/Dubai
Listing for: NorthBay Solutions LLC
Full Time position
Listed on 2026-10-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 600000 - 900000 AED Yearly AED 600000.00 900000.00 YEAR
Job Description & How to Apply Below

Job Title:

Lead Dev Ops 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

North Bay a leading AWS Premier Partner is seeking a highly skilled Lead Dev Ops Engineer (Azure Terraform) to join its growing cloud and AI engineering team. This role is ideal for candidates with a strong foundation in cloud Dev Ops practices and a passion for implementing scalable MLOps solutions.

Key Responsibilities
  • Design implement and manage CI/CD pipelines using tools such as Jenkins Git Hub Actions or Azure Dev Ops
  • 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 Dev Ops and/or MLOps roles
  • Proficient in CI/CD tools:
    Jenkins Git Hub Actions Azure Dev Ops
  • 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 Sage Maker 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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