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Tier-1 brand, generic fullstack title, metro location, and broad GCP/AI requirements increase candidate competition.
Technical skills are transferable but banking payments/fraud domain preference increases domain specificity.
Extensive mandatory full-stack, GCP/AI, Kafka/Spark, and enterprise banking skills make shortlisting highly stringent.
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Design, develop, and operationalize full-stack scalable applications including frontend UI and Java-based backend microservices in GCP environments.
Develop cloud-native applications and data processing pipelines using GCP services (App Engine, GKE, Cloud Run), Kafka, and Spark.
Implement and contribute to LLM/Agentic AI and RAG-based automation solutions to enhance efficiency and decision-making.
Strong hands-on experience in both UI (React or Angular, TypeScript/JavaScript) and backend development (Java 8/11/17+, Spring Boot, microservices).
Proven experience with GCP cloud services, event-driven architecture (Kafka), and Java data processing frameworks (Apache Spark).
Experience building scalable, high-volume enterprise-grade applications with performance tuning, security, and resiliency.
Work Experience Required: Not explicitly mentioned in the JD.
Technical leader with full-stack expertise in frontend and backend engineering within cloud-native (GCP) environments.
Experienced in developing AI-driven automation using LLMs and Agentic AI frameworks like LangChain, Google ADK, with knowledge of RAG patterns.
Familiar with designing end-to-end enterprise solutions involving data pipelines, event-driven architecture, and integration with global teams.