SENIOR DEVOPS ENGINEER - Azure DevOps

Job Description DevOps / MLOps Engineer

Location: Bengaluru (Hybrid)
Experience: 5-8 Years
Employment Type: Full-Time

We are seeking a skilled DevOps MLOps Engineer with 5-8 years of experience to build, automate, and manage CI/CD pipelines, cloud infrastructure, and machine learning operational workflows. The ideal candidate should possess strong expertise in Azure Cloud, DevOps practices, containerization, infrastructure automation, and ML model deployment and monitoring.

• Design and implement CI/CD pipelines for application and ML model deployments.
• Automate infrastructure provisioning using Infrastructure as Code (IaC).
• Deploy, manage, and optimize machine learning models in production environments.
• Build and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
• Manage Azure cloud infrastructure, networking, and security.
• Configure and support Kubernetes clusters and containerized applications.
• Implement monitoring, observability, alerting, and logging solutions.
• Collaborate with Data Scientists, Data Engineers, and Application Teams.
• Automate releases and environment provisioning using Azure DevOps.
• Establish version control, model registry, and artifact management processes.
• Implement security best practices, RBAC, secrets management, and compliance controls.
• Optimize cloud infrastructure costs and resource utilization.
• Troubleshoot production issues and perform root cause analysis.
• Support disaster recovery, backup, and high-availability solutions.
• Drive DevOps and MLOps best practices across project teams.

• 5-8 years of overall IT experience.
• 3+ years of Azure DevOps experience.
• 2+ years of MLOps implementation experience.
• Experience deploying ML models into production environments.
• Strong hands-on expertise in CI/CD and Infrastructure as Code.
• Experience supporting enterprise-scale cloud platforms.

• Azure DevOps
• CI/CD Pipeline Development
• Git / GitHub / GitHub Actions
• Terraform
• ARM/Bicep Templates
• Kubernetes (AKS)
• Docker
• Linux Administration
• Shell Scripting / Python

• Azure Machine Learning
• ML Model Deployment Monitoring
• ML Pipelines
• Model Registry Versioning
• Feature Store Concepts
• Model Performance Monitoring
• ML Experiment Tracking
• Data Drift Model Drift Monitoring

• Microsoft Azure
• Azure Databricks
• Azure Storage / ADLS Gen2
• Azure Key Vault
• Azure Monitor / Log Analytics
• Application Insights

• Microsoft Azure DevOps Engineer Expert (AZ-400)
• Azure Administrator (AZ-104)
• Azure AI Engineer Associate (AI-102)
• Databricks Certified Professional
• Kubernetes Certification (CKA/CKAD)