Description

Lead the design and implementation of scalable, secure, and AI-integrated solutions on Microsoft Azure. Own the architecture for hybrid and multi-cloud environments, ensuring enterprise-grade reliability and security.

Responsibilities

• Design hybrid and multi-cloud architectures, integrating AI workloads with core Azure services.
• Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
• Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices patterns.
• Implement and enforce Azure security best practices, identity management, and role-based access controls (RBAC).
• Architect and manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.

Required Skills

• 12–15 years of experience designing, developing, and supporting enterprise-grade SaaS products on the Microsoft stack.
• Proficiency in C#, ASP.NET, JavaScript, MVC, and client-side scripting (JavaScript, JQuery, Kendo).
• Hands-on experience with Azure services: AKS, Azure Functions, Logic Apps, and Azure Machine Learning.
• Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.
• Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent certification.
• Strong analytical abilities to troubleshoot complex infrastructure and application issues.
• Effective communication skills to present architectural decisions to engineering and security teams.

Preferred Skills

• Exposure to Generative AI technologies and experience customizing LLM models.
• Experience with modern JavaScript frameworks like React.
• Azure AI Engineer Associate (AI-102), Azure Data Scientist Associate (DP-100), or Databricks ML Data Scientist certifications.

Key Skills

Education

Any Graduate