Azure Devops Engineer with MLOps

Overview

• Experience with DevOps in Azure cloud.
• Good understanding of Cloud Infrastructure services and their limitations.
• Experience in configuring & monitoring different attributes and handling scale-up and scale-down scenarios for the application in a cloud environment.
• Manage and scale production-grade Kubernetes clusters (AKS/OpenShift).
• Develop, and implement containerization strategy for applications leveraging Docker & Kubernetes and serverless in Azure.
• Implement declarative, automated application deployments on GitOps with ArgoCD
• Maintain legacy and modern CI\CD pipelines using Bamboo and Tekton
• Good hands on experience with IAC Tools- Terraform
• Good understanding of Microservices architecture and communication between APIs in a containerized environment.
• Good understanding of webhooks / build triggers for CI pipelines.
• Proactively identify and remediate Vulnerabilities within the Azure ecosystem.
• Integrate automated security scanning (SAST/DAST) and container image signing into the build process
• Provide best practices around provisioning production and non-production environments on the cloud to optimize the usage.
• Oversee secure credential handling (e.g., HashiCorp Vault or Azure Key Vault).
• Experience with network technologies and with system, security, and network monitoring tools
• Have a strong understanding of application architecture, common failure modes, and the development process.
• Have a strong understanding of 24x7 application operations, including Incident Management, Change Management, and Capacity Management
  
  

Model Deployment: Build infrastructure to support LLM serving, fine-tuning, and monitoring.

Pipeline Automation: Use MLOps principles to automate data versioning and model training workflows.

Resource Optimization: Manage GPU-heavy workloads and optimize compute costs within Azure.

Azure, CI/CD, Kubernetes, MLOps