Azure DevOps Engineer - Lead
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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
Required Experience:
Senior IC
Employment Type
Full-Time
