Cloud Platform Engineer – Azure AI Foundry | AI/LLM | Python | DevOps

Experience: 8–12 Years

Work Location: Hybrid – Bangalore | Mumbai | Pune | Hyderabad

Work Mode: 3 Days per Week from Office

Shift Timing: 11:00 AM – 8:00 PM IST

US EST Overlap: Candidate should be flexible for up to 4 hours of overlap with US EST hours

Job Summary

We are looking for an experienced Cloud Platform Engineer with robust expertise in Microsoft Azure, Azure AI Foundry, Generative AI, LLMs, Python, and DevOps.

The ideal candidate will be responsible for designing, deploying, and managing secure, scalable, and high-performing cloud-native AI solutions. The role requires hands-on experience with Azure AI services, Azure OpenAI, RAG, AI Agents, Kubernetes, Infrastructure as Code, CI/CD, cloud security, and monitoring.

Key Responsibilities

- Design, build, deploy, and manage cloud-native AI solutions on Microsoft Azure.
- Develop and deploy AI applications using Azure AI Foundry (Azure AI Studio) and Azure OpenAI Service.
- Build scalable AI APIs and backend services using Python, FastAPI/Flask, and REST APIs.
- Design and implement RAG (Retrieval-Augmented Generation) solutions using Azure AI Search, Vector Search, and Semantic Search.
- Develop AI workflows using Prompt Flow, AI Agents, Function Calling, Tool Calling, and Embedding Models.
- Deploy and manage applications using Azure Kubernetes Service (AKS), Azure App Service, Azure Functions, and Azure Container Apps.
- Automate cloud infrastructure using Terraform, Bicep, ARM Templates, and modern CI/CD practices.
- Implement secure authentication and authorization using Microsoft Entra ID, RBAC, OAuth 2.0, Managed Identity, and Azure Key Vault.




- Implement monitoring and observability using Azure Monitor, Log Analytics, and Application Insights.
- Collaborate with architects, developers, DevOps teams, data scientists, and business stakeholders to deliver enterprise-grade AI solutions.
- Troubleshoot application, infrastructure, deployment, and production issues.
- Ensure solutions follow best practices for security, scalability, performance, governance, and responsible AI.

Required Technical SkillsMicrosoft Azure

- Azure App Service
- Azure Functions
- Azure Kubernetes Service (AKS)
- Azure Container Apps
- Azure Storage Account
- Azure Blob Storage
- Azure API Management
- Azure Key Vault
- Azure Monitor
- Azure Application Insights
- Azure Virtual Networks
- Microsoft Entra ID (Azure AD)
- Managed Identity

Azure AI & Generative AI

- Azure AI Foundry (Azure AI Studio)
- Azure OpenAI Service
- Prompt Flow
- AI Agents
- Model Catalog
- Prompt Engineering
- AI Evaluation
- Content Safety
- Responsible AI

AI & LLM Technologies

- GPT-4.x / GPT-4o models
- Large Language Models (LLMs)
- Function Calling / Tool Calling
- Embedding Models
- RAG (Retrieval-Augmented Generation)
- Azure AI Search
- Vector Search
- Semantic Search
- Document Indexing

Programming & API Development

- Python – Mandatory
- FastAPI or Flask
- REST APIs
- JSON
- PowerShell or Bash





DevOps & Containers

- Docker
- Kubernetes
- Azure Kubernetes Service (AKS)
- Azure DevOps
- GitHub
- GitHub Actions
- YAML Pipelines
- CI/CD
- Infrastructure as Code (Terraform, Bicep)
- ARM Templates – Good to Have

Security & Monitoring

- RBAC
- Microsoft Entra ID
- OAuth 2.0
- Azure Key Vault
- Managed Identity
- Secrets Management
- Azure Monitor
- Log Analytics
- Application Insights

Preferred Candidate Profile

- 8–12 years of experience in Cloud Engineering, DevOps, Platform Engineering, or related roles.
- Strong hands-on experience with Microsoft Azure and cloud-native architectures.
- Strong experience with Azure AI, Generative AI, LLMs, and Azure OpenAI.
- Hands-on experience designing and deploying enterprise-grade AI applications.
- Experience with RAG, Vector Search, Semantic Search, AI Agents, and Prompt Flow.
- Strong understanding of Kubernetes, Docker, CI/CD, and Infrastructure as Code.
- Experience implementing cloud security, authentication, authorization, and secrets management.
- Strong troubleshooting and production support capabilities.
- Excellent communication, collaboration, and stakeholder management skills.
- Candidate should be flexible to work with 4 hours of US EST overlap when required.

Note This is a C2H opportunity for 6 months, extendable based on project requirements and performance. Candidates with strong hands-on experience in Azure AI Foundry, Azure OpenAI, Python, RAG, AI Agents, AKS, Terraform, and DevOps are preferred.

Experience

- Cloud Engineering: 8 years (Required)

Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

📌 Cloud Platform Engineer (Bengaluru)
🏢 Tech Next
📍 Bengaluru