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Job Description & How to Apply Below
- Solution Lead + Hands on 10 12 Years conceptual architecture to implementation ensuring performance, scalability, reusability, and alignment with best practices across the Azure ecosystem. Architect and design scalable, secure, and high performance cloud native applications using Azure services (App Services, Functions, AKS, API Management, Cosmos DB, Event Hub, Service Bus, etc.).
- Develop and implement cloud solution blueprints and reusable reference architectures for enterprise wide adoption for GenAI / Agentic use cases in Azure ecosystem.
- Drive end to end CI/CD automation using Azure Dev Ops, Git Hub Actions, and Infrastructure as Code (Bicep).
- Design and optimize microservices, serverless, and event driven architectures ensuring resilience and scalability.
- Design and deploy Generative AI and Agentic applications using Azure OpenAI, Cognitive Services, Azure ML, and vector database integrations.
- Evaluate emerging Azure services and AI frameworks to recommend best fit architectures for business needs.
- Establish cloud governance, cost optimization, and observability practices using Azure Monitor, Application Insights, and Log Analytics.
- Lead engineering teams on cloud architecture patterns, Dev Ops, and AI integration best practices.
- Proven experience designing scalable, distributed, and fault tolerant systems on Azure for GenAI and Agentic work.
- Strong hands on expertise with Azure PaaS services, Azure Functions, Kubernetes (AKS), Event driven architectures, and API Management.
- Deep understanding of CI/CD, Dev Ops pipelines, and Infrastructure as Code (Azure Dev Ops, Terraform, Bicep, Git Hub Actions).
- Experience designing and deploying Generative AI or Agentic solutions, leveraging Azure OpenAI Service, Cognitive Search, Azure AI Studio, or Lang Chain like frameworks.
- Solid knowledge of security, identity, and compliance in Azure (Managed Identities, Key Vault, Private Endpoints).
- Proficiency with Python, Node.js in cloud native solution development.
- Experience with multi region deployments, serverless scaling, and high throughput data pipelines.
- Strong understanding of networking, monitoring, and scaling strategies across hybrid and multi tenant setups.
- Excellent communication, solution documentation, and stakeholder engagement skills.
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