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Tier-1 brand, popular fullstack title, mid-level profile, and Bangalore location increase applicant competition.
Strong technical skills transfer across industries, but banking controls and payments domain increase specificity moderately.
Extensive mandatory cloud, backend, frontend, data and AI skills plus banking compliance raise shortlisting strictness.
Design, develop, and operationalize full-stack scalable applications including frontend UI and backend microservices on GCP for transaction monitoring and data controls.
Build and integrate event-driven data-processing pipelines using Kafka, Spark, and enable AI-driven automation such as LLM/Agentic AI for efficiency and decision-making.
Collaborate with cross-functional teams to ensure application performance, resiliency, security, and adherence to enterprise-grade standards.
Expertise in full-stack development: Java (8/11/17+), Spring Boot, microservices, React or Angular, TypeScript/JavaScript.
Experience with cloud-native application development on GCP services including App Engine, GKE, Cloud Run.
Proficient in event-driven architectures, Kafka, Apache Spark, REST APIs, and transactional databases.
Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to design and deliver end-to-end enterprise solutions in cloud environments, preferably GCP.
Experience implementing AI-driven automation frameworks including practical use of LLMs, Agentic AI, and RAG patterns.
Background in high-volume, performance-tuned applications with collaboration across global, cross-functional teams including security and compliance disciplines.