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Who this role suits
Working engineers who want flexible, project-based remote work that uses their coding and review skills. A strong portfolio or GitHub helps.
Full job description
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.
Last checked open on Oct 28, 2026. Job description provided by Turing.
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