Azure DevOps Architect
Description
Role : Azure DevOps AI Architect
Location : Bangalore (Onsite)
Job Description :
Required Qualifications :
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in cloud engineering and architecture.
- 5+ years of hands-on experience with Microsoft Azure across computer, networking, storage, identity, and data services.
- Proven experience designing and implementing enterprise-grade CI/CD pipelines.
- Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).
- Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).
- Deep knowledge of DevSecOps principles, tools, and practices.
- Experience with containerization and orchestration: Docker, Kubernetes (AKS).
- Proficiency in scripting and development: Python, PowerShell, Bash.
- Excellent communication and stakeholder management skills.
Preferred Qualifications :
- Microsoft Certified : Azure Solutions Architect Expert.
- Microsoft Certified : DevOps Engineer Expert.
- Microsoft Certified : Azure AI Engineer Associate.
- Experience with Azure API Management (APIM), Event Grid, and Azure Functions.
- Familiarity with Datadog, Prometheus, or equivalent observability platforms.
- Experience in the real estate, retail, or enterprise industry sector.
- Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).
- Background in building Internal Developer Platforms (IDP).
Skills
- Agentic AI
- AI
- AKS
- API
- Azure
- Azure DevOps
- Azure Functions
- Bash
- Bicep
- CI/CD
- Cloud
- Containerization
- Datadog
- DevOps
- DevSecOps
- Docker
- Infrastructure as Code
- Kubernetes
- LangChain
- LLM
- Machine Learning
- MCP
- Networking
- Observability
- OpenAI
- PowerShell
- Prometheus
- Python
- Semantic Kernel
- Stakeholder Management
- Terraform