Lead DevOps Engineer (Azure, Terraform)
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Job Title: Lead DevOps Engineer (Azure, Terraform) Employment Type: Full-time Remote (India)
About the Role:
NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps (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
Lead DevOps Engineer (Azure, Terraform)
To see similar active jobs please follow this link: Remote System Administration jobs
Job Title: Lead DevOps Engineer (Azure, Terraform) Employment Type: Full-time Remote (India)
About the Role:
NorthBay, a leading AWS Premier Partner, is seeking a highly skilled Lead DevOps (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