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Tier-1 brand and metro location with broad full-stack and AI requirements increase candidate density.
Requires specific full-stack, cloud, and AI experience, limiting cross-industry transferability.
Extensive mandatory full-stack, cloud, AI, and infrastructure skills create a high-filter hiring bar.
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Lead architecture, design, and implementation of AI-first, scalable distributed systems and microservices.
Develop full-stack applications using Spring Boot (backend) and React (frontend) ensuring high code quality and scalable cloud-native deployments on AWS.
Manage container orchestration with Kubernetes, event-driven processing with RabbitMQ, and observability integration via Grafana.
Expertise in Java, Spring Boot, React.js, Kubernetes, RabbitMQ or similar event streaming, PostgreSQL, AWS cloud (EKS, Lambda, RDS, S3), Apigee API management, GitHub Actions CI/CD, and Grafana observability.
Proven experience designing and deploying at least one AI-powered solution (e.g., generative AI, NLP, recommendation systems, predictive analytics).
Strong knowledge of distributed systems, microservices, and event-driven architectures.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on technical leader focused on architectural vision and deep execution expertise without people management responsibilities.
Experienced in building and scaling AI-enabled platforms with strong problem-solving capabilities for complex engineering challenges.
Familiar with designing resilient microservices and cloud-native solutions using modern DevOps and observability practices.