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Tier-1 brand, popular fullstack role, metro location, and broad required skillset drive high competition.
Technical skills are transferable across industries, though payments/fraud domain knowledge increases specificity.
Extensive mandatory tech stack and regulated banking domain elevate shortlisting strictness to high.
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Design, develop, and operationalize scalable end-to-end applications across frontend UI and backend services within Transaction Monitoring and Data Controls domain.
Build cloud-native applications on GCP using services like App Engine, GKE, Cloud Run, integrating event-driven and data-processing pipelines with Kafka and Spark.
Contribute to AI-driven automation including LLM/Agentic AI and Retrieval Augmented Generation (RAG) implementations to improve efficiency and decision-making.
Proven hands-on experience in full-stack development with Java (8/11/17+), Spring Boot, REST APIs, React or Angular, TypeScript/JavaScript.
Experience with GCP cloud-native services such as App Engine, GKE, and Cloud Run.
Familiarity with event-driven architectures using Kafka, data processing frameworks like Apache Spark, and transactional databases.
Work Experience Required: Not explicitly mentioned in the JD.
Has strong expertise in designing cloud-native enterprise solutions with high scalability, performance tuning, and resilience engineering on GCP.
Experienced developing AI-powered applications using LLM frameworks (e.g. LangChain, Google ADK, CrewAI) and implementing automation via RAG patterns.
Comfortable collaborating across security, data, risk, and compliance teams and promoting engineering best practices in globally distributed environments.