Azure DevOps Engineer(LangGraph)
About this role
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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