Azure DevOps Engineer - Lead
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
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
نوع التوظيف
دوام كامل
