Azure DevOps With AI

Viraaj HR Solutions Private Limited; Hyderabad; On-site; INR 1,800,000 - 3,500,000; Full time

Benefits offered by this job

On-site tech hub environment with hack

Azure AI certification sponsorships

GenAI upskilling programs

Job summary

Viraaj HR Solutions Private Limited is seeking a Senior Azure DevOps Engineer in Hyderabad to design and deploy AI-enabled DevOps pipelines. You will integrate AI/ML models into CI/CD, build AI-enhanced release workflows, and promote IaC and GitOps practices.

The role emphasizes automated testing, anomaly detection, and scalable cloud-native deployments using Azure tools and MLflow/Azure ML for model retraining and versioning.

Qualifications

• Must have experience designing and deploying Azure DevOps pipelines.
• Experience integrating AI/ML into CI/CD workflows.
• Proficient in Python and PowerShell.
• IaC experience with ARM templates, and Bicep.
• Knowledge of GitOps and blue-green deployments.
• Experience with MLflow and Azure ML.
• Familiarity with Azure Monitor and application insights.

Responsibilities

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

Skills

Azure DevOps

CI/CD Pipelines

Azure Monitor

ARM Templates

Python

PowerShell

GitOps

MLflow

Azure ML

LangChain

GitHub Actions

Tools

GitHub Actions

MLflow

Azure ML

Job description

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