About this role
We are seeking a Mid-Senior Azure DevOps Engineer with strong experience in Azure
DevOps and hands-on expertise in LangGraph to support the deployment, automation, and
management of AI-powered applications. The ideal candidate will have experience building
scalable CI/CD pipelines, managing Azure cloud infrastructure, and deploying LLM-based
agentic applications.
Key Responsibilities:
\* Design, implement, and optimize CI/CD pipelines using Azure DevOps.
\* Deploy, configure, and maintain applications and AI workflows on Microsoft Azure.
\* Build, deploy, and support LangGraph-based agentic AI applications.
\* Automate infrastructure provisioning using Terraform, Bicep, or ARM templates.
\* Manage containerized applications using Docker and Kubernetes (AKS).
\* Monitor application health, troubleshoot production issues, and optimize cloud
resources.
\* Collaborate with development, AI/ML, and platform teams to ensure reliable
software delivery.
\* Implement DevSecOps best practices, including security, monitoring, and
compliance.
Required Skills:
\* 8+ years of experience in Azure DevOps or Cloud DevOps engineering.
\* Hands-on experience with LangGraph for building and deploying AI agent workflows.
\* Strong experience with Azure services such as App Service, Azure Functions, AKS,
Azure Container Registry, Azure Storage, and Azure Key Vault.
\* Experience designing and maintaining Azure DevOps CI/CD pipelines using YAML.
\* Proficiency with Infrastructure as Code using Terraform, Bicep, or ARM templates.
\* Strong knowledge of Docker, Kubernetes, and container orchestration.
\* Proficiency in Python or PowerShell for automation.
\* Experience with Git, branching strategies, and release management.
\* Familiarity with Azure Monitor, Application Insights, and Log Analytics.
Preferred Skills:
\* Experience with LangChain, Azure OpenAI Service, or other LLM frameworks.
\* Knowledge of vector databases, Retrieval-Augmented Generation (RAG), and AI
application deployment.
\* Azure certifications such as AZ-104, AZ-400, or AZ-305.
\* Experience implementing DevSecOps and cloud security best practices.
Qualifications:
\* Bachelor's degree in Computer Science, Information Technology, or a related field.
\* Excellent problem-solving, communication, and collaboration skills.
\* Experience working in Agile/Scrum environments
Pay: ₹401,000.00 - ₹1,630,000.00 per year
Work Location: In person