Azure DevOps Engineer - Lead

NorthBay Solutions; Abu Dhabi; Hybrid; AED 120,000 - 200,000; Full time

Job summary

A technology consulting firm is seeking a Lead DevOps Engineer specialized in Azure and Terraform. The successful candidate will design CI/CD pipelines, maintain infrastructure, and support ML model deployment. Ideal applicants have 8-12 years in DevOps, strong skills in container technology, and a collaborative approach. The role requires relocation to Abu Dhabi for periodic onsite engagements.

Qualifications

• 8 to 12 years of experience in DevOps and/or MLOps roles.
• Proficient in CI/CD tools including Jenkins, GitHub Actions, or Azure DevOps.
• Strong expertise in Terraform and Kubernetes.

Responsibilities

• Design and manage CI/CD pipelines using tools like Jenkins and Azure DevOps.
• Develop Infrastructure-as-Code using Terraform.
• Collaborate with data science teams for ML operationalization.

Skills

DevOps experience

CI/CD tools proficiency

Terraform expertise

Kubernetes experience

Containerization technologies

Cloud security best practices

Scripting in Bash and Python

Job description

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

Note: 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 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