NorthBay Solutions

Azure DevOps Engineer - Lead

Devops - Abu Dhabi, Abu Dhabi, 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
* Required fields
First name*
Last name*
Email address*
Phone number*
Resume*

Attach resume or Paste resume

Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or paste resume

Paste your resume here or attach resume file

How many years of professional experience do you have in DevOps role?*
Which of the following CI/CD tools have you worked with extensively? (Select all that apply)*
What is your level of expertise with Terraform for Infrastructure-as-Code?*
How would you rate your hands-on experience with Kubernetes in production-grade clusters?*
Do you have experience implementing MLOps practices such as model versioning, deployment strategies (blue-green), monitoring (data/concept drift), and experiment tracking (e.g., MLflow)?*
Have you managed and operated more than 10 Kubernetes clusters in production environments?*
Are you open to relocation or flexible to travel to Abu Dhabi (UAE)?*
What is duration of your notice period with current employer?*
What is your current monthly salary? (AED)*
What is your expected monthly salary? (AED)*
Human Check*