Azure DevOps Engineer(LangGraph)

An older role: first posted 102d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

What the work is

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.

Who gets hired

• 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.

Pay

See listing, fully remote. How payouts and tax work.