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Tier-1 brand, popular backend role, metro location, and broad AI/cloud skill requirements drive high competition.
Strong backend, cloud, and AI skills are broadly transferable, though healthcare domain familiarity is beneficial.
Multiple mandatory technical skills, explicit 6+ years, and leadership expectations enforce high shortlisting strictness.
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Design, develop, deploy, and maintain AI-enabled, cloud-native enterprise applications and APIs with a focus on scalability, security, and performance.
Lead technical design, architecture decisions, and implement CI/CD pipelines, infrastructure provisioning, and container orchestration (Docker, Kubernetes) for resilient microservices.
Collaborate with cross-functional teams to translate business requirements into technical solutions and operationalize AI workflows including Agentic AI and RAG pipelines.
6+ years experience in API design, service integration, and backend system engineering.
4+ years hands-on Azure cloud experience with cloud-native application development and operation.
Proficiency in Java (Spring Boot), Python, Docker, Kubernetes (AKS), CI/CD tools (GitHub Actions), and infrastructure as code (Terraform).
Experience in AI systems development including Agentic AI, RAG, LLM orchestration, and frontend frameworks (React/Angular/Next.js).
Senior-level engineer with proven leadership in technical initiatives, architecture, and mentoring in AI-driven cloud-native environments.
Skilled in building scalable, resilient microservices and AI workflow automation integrating multiple technologies across backend and frontend.
Experienced in collaborative Agile/Scrum settings, driving end-to-end solution delivery and continuous improvement in large enterprise contexts.