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Vacancy description

Azure DevOps Engineer(LangGraph) in भारत

Turing

  • RemoteWork from anywhere
  • Part-timeFewer hours each week

भारत

Build and optimize CI/CD pipelines for AI applications on Azure.

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.

Skills: Kubernetes, Terraform, Azure DevOps

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