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Tier-1 bank, metro location, and a popular full-stack title with broad mid-level requirements increase competition.
Strong cloud and full-stack skills are transferable, but banking controls and payments domain increases industry specificity.
Multiple mandatory tech requirements, regulated banking domain, and specialized AI/cloud skills make screening strict.
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Build and deliver end-to-end full-stack solutions including frontend UI and backend Java microservices for Transaction Monitoring and Data Controls domain.
Develop and operationalize scalable, cloud-native applications on Google Cloud Platform using services like App Engine, GKE, and Cloud Run.
Implement LLM/Agentic AI and Retrieval-Augmented Generation (RAG) automation use cases to enhance efficiency, controls, and decision-making.
Strong hands-on experience in full-stack development: Java (8/11/17+), Spring Boot, Microservices, React or Angular, TypeScript/JavaScript.
Experience with GCP cloud-native development (App Engine, GKE, Cloud Run).
Experience building scalable, high-volume applications with performance tuning, resiliency, and security best practices.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to design and integrate complex enterprise solutions across frontend, backend, data pipelines, and cloud infrastructure in a global, distributed environment.
Experience with AI applications including LLM-based development, Agentic AI frameworks, and RAG patterns within financial services or similar regulated domains.
Background in event-driven architecture, data engineering, and payment screening, fraud detection or integrity monitoring domains is a plus.