Ingénieur Azure DevOps (LangGraph)

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.