Azure DevOps Architect
Summary
A senior hands-on architect (9-14 years) who designs secure, scalable Azure cloud solutions, drives CI/CD and DevSecOps with Azure DevOps/GitHub Actions, and integrates AI/ML including MLOps, GenAI, and agentic AI using Azure OpenAI and Azure AI Foundry. Based in Gurugram with 4 days a week in the office.
Azure DevOps Architect
1st Interview – Virtual, 2nd Interview – In Person,
Experience – 9 to 14 years – Should be hands on
Location – Only GGN – 4 days WFO
Role Overview
We are seeking a highly experienced Azure DevOps Architect with strong expertise in cloud architecture, DevOps automation, and AI/ML integration. The role involves designing scalable Azure solutions, leading DevOps transformations, and embedding AI-powered capabilities into enterprise platforms.
Key Responsibilities
- Cloud Architecture
- Design and implement secure, scalable, and highly available solutions on Microsoft Azure.
- Define reference architectures, standards, and best practices.
- DevOps & CI/CD
- Architect end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.
- Drive DevSecOps culture with embedded security, compliance, and quality gates.
- AI & ML Integration
- Architect AI/ML solutions leveraging Azure Machine Learning, Azure AI Foundry, and Azure OpenAI.
- Implement MLOps frameworks for automated training, validation, deployment, and monitoring.
- Generative AI & Agentic AI
- Design enterprise GenAI solutions using Azure OpenAI.
- Build AI Agents with Azure AI Foundry and orchestrate multi-agent workflows.
- Implement Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.
Required Skills
- Deep expertise in Azure DevOps, Kubernetes (AKS), Terraform, Bicep, ARM templates.
- Strong knowledge of Azure AI services (Azure ML, Cognitive Services, Azure OpenAI).
- Proven experience in MLOps, AIOps, and DevSecOps.
Excellent communication and leadership skills