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).