Posted:2 weeks ago|
Platform:
Work from Office
Full Time
We are seeking a highly skilled Lead Azure DevOps Engineer to join our team and drive the end-to-end deployment, scalability, and operationalization of machine learning models in production. You will collaborate closely with data scientists, data engineers, and DevOps teams to ensure seamless CI/CD, reproducibility, monitoring, and governance of ML pipelines Key Responsibilities Design, implement, and maintain CI/CD pipelines for deploying and monitoring microservices efficiently. Manage infrastructure as code using Terraform for repeatable and scalable provisioning. Deploy and optimize containerized applications using Docker and Azure services (Container Apps, Container Registry, Key Vault, Service Bus, Blob Storage). Apply best practices for securing Docker images, including vulnerability scanning, reducing image size, and optimizing build efficiency. Implement and maintain Azure Monitor for logging, monitoring, and alerting to ensure system reliability. Ensure security best practices across cloud environments, including secrets management, access control, and compliance. (Nice to have) Design and manage multi-client architectures within shared pipelines and storage accounts in Azure Blob Storage 6+ years of experience in DevOps or MLOps with a strong focus on production-grade ML solutions. Strong expertise in Azure, particularly with CI/CD, container orchestration, and cloud security. Proficiency in Terraform for infrastructu
Blend360 India
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