Azure DevOps Engineer(LangGraph)

Work location: Remote

Yoe: 8+

Work mode: remote/India

Availability- Immediate-2 weeks

Job Title: Mid-Senior Azure DevOps Engineer (LangGraph Experience)

Job Description:

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.