Azure DevOps Engineer (LangGraph) at Turing

Azure DevOps Engineer (LangGraph) | Remote – India | Immediate to 2-Week Start

We are looking for a Mid-Senior Azure DevOps Engineer with 8+ years of experience and hands-on expertise in LangGraph to drive the deployment, automation, and management of AI-powered applications on Microsoft Azure. This is an exciting opportunity to work at the intersection of cloud infrastructure and cutting-edge AI/ML workflows.

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: App Service, Azure Functions, AKS, Azure Container Registry, Azure Storage, and Azure Key Vault.
• Proficiency designing and maintaining Azure DevOps CI/CD pipelines using YAML.
• Infrastructure as Code expertise with Terraform, Bicep, or ARM templates.
• Strong knowledge of Docker, Kubernetes, and container orchestration.
• Proficiency in Python or PowerShell for automation scripting.
• 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.
• Strong problem-solving, communication, and collaboration skills.
• Experience working in Agile/Scrum environments.