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.