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Tier-1 employer, metro location, generalist fullstack title, and broad skillset requirements drive high competition.
Medium: core cloud and fullstack skills are transferable, but payments/fraud domain experience increases preference.
High: many mandatory technical stacks (Java, React, GCP, Kafka, Spark, LLM) and enterprise seniority expectations.
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Own end-to-end development and delivery of scalable frontend UI and backend Java microservices on GCP for transaction monitoring and data controls.
Design and implement event-driven, cloud-native applications using Kafka, Spark, and GCP platforms like App Engine, GKE, and Cloud Run.
Drive integration of AI/ML solutions (LLM-based, Agentic AI) to automate and enhance efficiency, controls, and decision-making in enterprise workflows.
Strong hands-on experience in full-stack development with Java (8/11/17+), Spring Boot, microservices, React or Angular, TypeScript/JavaScript.
Experience with REST APIs, event-driven architecture, Kafka, Apache Spark, and cloud-native development on GCP.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with at least one data storage technology (e.g., Oracle, BigQuery) and CI/CD tools (TeamCity, Jenkins, GitHub Actions).
Experienced in designing and deploying complex, cloud-native enterprise solutions with a focus on performance, resiliency, and security.
Demonstrates practical application development expertise with LLM and Agentic AI frameworks (LangChain, Google ADK, CrewAI) including RAG mechanisms.
Familiar with payment screening, fraud detection or related financial domain workflows, and working in globally distributed agile teams.