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
Required Experience:
Senior IC
Job Title: Lead DevOps Engineer (Azure Terraform)Employment Type: Full-timeWork Mode: HybridLocation: Lahore Karachi Islamabad PakistanExperience Required: 8 to 12 yearsJob Summary:NorthBay is seeking a Lead DevOps Engineer with deep expertise in Microsoft Azure and Terraform to support large-scale ...
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
Required Experience:
Senior IC
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