Agent Engineer
$100 - $500 / task
Verified partner opportunity
Pay listed by partner
Azure DevOps Engineer(LangGraph) opportunity listed by Turing.
Azure DevOps Engineer(LangGraph) opportunity listed by Turing. Read the official requirements below before applying.
Official job description checked 2026-10-24:
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.
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