Lead DevOps Engineer (Azure, Terraform)

Job Title: Lead DevOps Engineer (Azure, Terraform)

Employment Type: Full-time
Work Mode: Hybrid
Location: Lahore, Karachi, Islamabad, Pakistan
Experience Required: 8 to 12 years

Job Summary:
NorthBay is seeking a Lead DevOps Engineer with deep expertise in Microsoft Azure and Terraform to support large-scale cloud platforms and AI-driven workloads. This role focuses on designing, automating, and operating secure, scalable Azure infrastructure, CI/CD pipelines, Kubernetes platforms, and MLOps solutions for production environments.

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps and GitHub Actions
• Architect, deploy, and manage Azure infrastructure using Terraform as Infrastructure as Code
• Build and operate Azure Kubernetes Service (AKS) clusters, including scaling, high availability, and monitoring
• Implement Azure networking components such as Virtual Networks, Subnets, NSGs, Load Balancers, and Application Gateways
• Ensure cloud infrastructure security using Azure IAM, Managed Identities, Key Vault, and RBAC best practices
• Implement monitoring and observability using Azure Monitor, Log Analytics, and Application Insights
• Collaborate with data science and engineering teams to deploy and operationalize machine learning models on Azure
• Implement MLOps practices including model versioning, CI/CD for ML, blue-green deployments, and rollback strategies
• Build automated ML pipelines using Azure-native or open-source tooling to manage the full model lifecycle
• Optimize cloud cost, performance, and reliability across Azure environments

Required Skills and Qualifications:

• 8 to 12 years of experience in DevOps and or MLOps roles
• Strong hands-on experience with Microsoft Azure cloud services
• Advanced expertise in Terraform for Azure infrastructure provisioning and scaling
• Extensive experience with Azure Kubernetes Service (AKS) in production environments
• Strong knowledge of Docker and container-based microservices architecture
• Hands-on experience with Azure DevOps pipelines and GitHub Actions
• Solid understanding of Azure networking, security, and identity management
• Experience with Azure Monitor, Log Analytics, and cloud observability practices
• Proficiency in scripting and automation using Bash and Python

Preferred Skills:

• Experience with Azure Machine Learning, MLflow, Kubeflow, or similar MLOps frameworks
• Knowledge of ML model monitoring, data drift, and ML system reliability
• Azure certifications such as AZ-400, AZ-305, or AZ-104 are a plus

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