Back
Bengaluru role with broad cloud, AI, and full-stack requirements increases competition.
Requires Azure platform architecture and healthcare integrations, limiting easy cross-industry transfers.
Explicit 7–10 years plus mandatory Azure, Kubernetes, IAC, full-stack and AI skills raises strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and define scalable, resilient, and secure end-to-end solutions across web, API, backend, data, and AI layers on Azure.
Lead design and governance of modern web applications and APIs using microservices, event-driven patterns, and AI integration for enterprise healthcare platforms.
Establish CI/CD and DevSecOps practices, mentor engineering teams on architectural best practices, and drive measurable delivery improvements.
7 to 10 years of experience including hands-on Azure development, full stack architecture, and AI integrations.
Proficiency with Azure cloud-native services including Azure Service Bus, API Management, AKS, Functions, and Logic Apps.
Experience in full stack development with Next.js (frontend) and Node.js (backend).
Bachelor's degree in Computer Science, IT, Software Engineering, or related field; Microsoft Certified: Azure Solutions Architect Expert certification.
Experienced architect comfortable leading microservices API-first and event-driven enterprise system design with healthcare domain integrations.
Strong background in AI/GenAI technologies including conversational AI, Retrieval Augmented Generation, and Large Language Model optimization.
Practitioner of cloud-native distributed applications using Kubernetes (AKS), Infrastructure-as-Code (Terraform preferred), and DevSecOps methodologies on Azure.