Build and optimize CI/CD pipelines for AI applications on Azure.
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.
... chatbot and backend integrations- Integrate applications with Azure services including Azure OpenAI, CosmosDB, and Application Insights- Collaborate with ML engineers to deploy, monitor, and optimize GenAI agents in production- Implement CI/CD pipelines and support containerized deployments using Docker and Azure DevOps- ...
... defect categorisation, release readiness for a software validation and DevOps organisation. Skills Must have Python, SQL, Git LLM application work: RAG, prompt engineering, AI agents, embeddings, vector databases, LLM evaluation LangChain or LangGraph, FastAPI ML fundamentals: PyTorch, TensorFlow or scikit-learn, model training ...
... integrate LLM-powered capabilities including RAG, summarization, classification, extraction, and reasoning. - Develop agentic AI solutions using LLMs, LangChain, LangGraph, and related frameworks. - Apply prompt engineering, orchestration, evaluation, monitoring, text processing, embeddings, and vector-based retrieval practices. ...
... engineering practices. - Opportunity to strengthen your technical portfolio and problem-solving skills. Who Should Apply? - Students passionate about Cloud Engineering and Artificial Intelligence. - Aspiring Cloud Engineers, DevOps Engineers, and AI Engineers. - Beginners interested in Google Cloud, AWS, and Azure. - Developers ...
... OpenAI, and Azure AI Search.- Knowledge of Microsoft Agent Framework, Microsoft 365 Agent SDK, or similar frameworks such as Semantic Kernel, LangChain, or LangGraph.- Strong understanding of REST APIs, microservices, distributed systems, and enterprise integrations.- Experience with Terraform, CI/CD, DevOps, and production ...
... benchmarks and standard plays that let the whole team win more consistently. What will you do : Solutioning and architecture - Design cloud infrastructure, DevOps and platform engineering solutions across AWS, Azure and GCP, and recommend the best-fit approach with clear trade-offs. - Own end-to-end solutioning for RFIs ...
... Gemini or similar), prompt engineering, embeddings, vector databases and RAG patterns.- Must have cloud-native experience on at least one of Google Cloud, AWS or Azure.- Mandatory hands-on DevOps experience, including CI/CD pipelines, containerization, infrastructure automation, release management and production monitoring.- ...
... to collaborate effectively across technical and business teams. - Certifications such as CISSP, Associate of ISC², CEH, Google Professional Machine Learning Engineer, AWS Certified Machine Learning – Specialty, Microsoft Azure Administrator Associate (AZ-104), CCSP, or Google Associate Cloud Engineer are preferred. Responsibilities ...
... software engineering and agentic coding workflows. - Ability to review, validate, secure, and improve AI-generated code rather than blindly accepting it. Cloud & DevOps - Working knowledge of AWS, Azure, or Google Cloud. - Docker and CI/CD experience. - Familiarity with Git/GitHub/GitLab/Bitbucket. - Basic understanding of Kubernetes ...