DevOps Engineer

We are seeking a highly skilled Lead DevOps / MLOps Engineer (Azure, Terraform) to join our 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.

Location: Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Contract (12 months extendable)

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.