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Northbay

Lead DevOps Engineer (Azure, Terraform)

Posted 17 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
The Lead DevOps Engineer will design and manage CI/CD pipelines, develop Infrastructure-as-Code, scale container orchestration, and implement MLOps best practices alongside cloud infrastructure optimization.
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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 

Top Skills

Azure
Azure Devops
Bash
Docker
Github Actions
Jenkins
Kubeflow
Kubernetes
Mlflow
Python
Sagemaker
Terraform
Tfx

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