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Tier-1 brand, metro location, and mid-level generalist full-stack role increase applicant competition.
Strong cloud, backend, frontend and AI skills are transferable, though banking domain experience is only preferred.
Many mandatory technical stacks (Java/Spring, React, GCP, Kafka, Spark, LLM) create strict technical screening.
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Build and deliver scalable end-to-end solutions including frontend UI and backend services, focusing on transaction monitoring and data controls.
Design and implement Java-based microservices and REST APIs on GCP using services like App Engine, GKE, and Cloud Run.
Develop and operationalize AI-driven automation solutions involving LLMs and Agentic AI frameworks to enhance efficiency and decision-making.
Strong hands-on experience in both frontend (React or Angular, TypeScript/JavaScript) and backend development (Java 8/11/17+, Spring Boot, Microservices).
Proven experience with GCP cloud-native development (App Engine, GKE, Cloud Run) and event-driven architectures using Kafka and Apache Spark.
Experience designing and delivering data-processing pipelines, REST APIs, and high-volume scalable applications.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in full-stack enterprise solution design and delivery in cloud-native environments focused on performance, resiliency, and security.
Demonstrated ability to integrate AI/LLM-based automation within transaction monitoring or data control domains.
Comfortable collaborating in global teams and driving engineering standards across distributed groups.