Azure DevOps Engineer (LangGraph)

You will support the deployment, automation, and ongoing management of AI applications built with LangGraph. The work combines Azure cloud engineering, software delivery, and the operation of AI workflows that carry out multi-step tasks.

• Design, implement, and improve continuous integration and delivery pipelines in Azure DevOps.
• Deploy, configure, and maintain applications and AI workflows on Microsoft Azure.
• Build, deploy, and support LangGraph-based agent workflows.
• Automate infrastructure provisioning with Terraform, Bicep, or ARM templates.
• Manage Docker containers and Kubernetes workloads on Azure Kubernetes Service.
• Monitor application health, troubleshoot production issues, and improve cloud resource use.
• Work with development, AI and machine learning, and platform teams.
• Apply DevSecOps practices for security, monitoring, and compliance.

This is a remote contract role for professionals working from India.

• Pay details are not provided.
• Work 20 or more hours per week.
• Fluent in English.
• Contract and part-time work arrangement.
• At least 8 years of experience in Azure DevOps or cloud DevOps engineering.
• Hands-on experience building and deploying LangGraph agent workflows.
• Strong knowledge of Azure App Service, Azure Functions, Azure Kubernetes Service, Azure Container Registry, Azure Storage, and Azure Key Vault.
• Experience with Azure DevOps YAML pipelines, Terraform, Bicep or ARM templates, Docker, Kubernetes, Git, branching, release management, and automation with Python or PowerShell.
• Familiarity with Azure Monitor, Application Insights, and Log Analytics.
• Azure certifications such as AZ-104, AZ-400, or AZ-305, a bachelor's degree in computer science or information technology, and Agile or Scrum experience may strengthen your fit.