Azure DevOps With AI

Viraaj HR Solutions Private Limited; Chennai District; Presencial; INR 1.800.000 - 2.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

On-site tech hub environment with s—

Descripción de la vacante

Viraaj HR Solutions Private Limited seeks a senior Azure DevOps Engineer to design and deploy AI-integrated CI/CD pipelines on Azure. You will implement AI-driven observability, manage infrastructure with ARM/Bicep, and automate deployments via Azure CLI.

Collaboration with data engineers will enable MLOps, model retraining, and versioning using MLflow. Responsibilities include creating release workflows using REST APIs and custom scripts, while promoting GitOps, blue-green deployments, and

Formación

• Must-have Azure DevOps and CI/CD pipelines.

Responsabilidades

• Design and deploy Azure DevOps pipelines integrated with AI/ML models.
• Implement AI-driven observability using Azure Monitor and App Insights.
• Orchestrate IaC deployments via Azure CLI, ARM templates, and Bicep.
• Collaborate with data engineers to embed MLOps into Azure Pipelines.
• Build AI-enhanced release management workflows using Azure DevOps REST APIs and scripts.
• Champion DevOps best practices: Infrastructure-as-Code, GitOps, blue-green deployments, and shift-left security.

Conocimientos

Azure DevOps

CI/CD Pipelines

Azure Monitor

Python

PowerShell

GitOps

MLflow

LangChain

GitHub Actions

Herramientas

ARM Templates

Bicep

Azure CLI

Descripción del empleo

About The Opportunity

A fast-scaling technology consultancy in the Enterprise AI & Cloud Automation sector, we architect intelligent DevOps pipelines that fuse Azure-native tooling with generative AI capabilities to accelerate software delivery, improve system reliability, and enable autonomous operations for global enterprises. Our teams build smart CI/CD workflows, AI-augmented monitoring, and self-healing infrastructure—turning DevOps into a strategic growth engine.

Role & Responsibilities

• Design and deploy Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.
• Implement AI-driven observability solutions using Azure Monitor, Application Insights, and custom LLM-based alerting logic.
• Orchestrate infrastructure-as-code (IaC) deployments via Azure CLI, ARM templates, and Bicep—ensuring reproducibility and drift detection.
• Collaborate with data engineers to embed MLOps into Azure Pipelines, enabling model retraining and versioning via MLflow/Azure ML.
• Build AI-enhanced release management workflows using Azure DevOps REST APIs and custom Python/PowerShell scripts.
• Champion DevOps best practices: Infrastructure-as-Code, GitOps, blue-green deployments, and shift-left security within AI-augmented pipelines.

Skills & Qualifications

• Must-Have
• Azure DevOps
• CI/CD Pipelines
• Azure Monitor
• ARM Templates
• Python
• PowerShell
• GitOps
• MLflow
• Preferred
• Azure ML
• LangChain
• GitHub Actions

Benefits & Culture Highlights

• Work on cutting-edge AI-DevOps fusion projects with global clients.
• Access to Azure AI certification sponsorships and GenAI upskilling programs.
• On-site tech hub environment with daily innovation sprints and hackathons.

Skills: infrastructure,powershell,devops,azure,pipelines,python