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.
- Robust 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

📌 Azure DevOps Engineer(LangGraph) (Jaipur)
🏢 SAVISHTY
📍 Jaipur