Back
Tier-1 bank brand, Bangalore metro location, generalist Full Stack title, and broad required skillset increase competition.
Core fullstack, cloud, and AI skills are transferable across industries, though finance domain experience is preferred.
Many mandatory technical stacks (Java, React, GCP, Kafka, Spark, LLM) but no explicit years, so medium strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deliver end-to-end scalable applications including frontend UI and backend Java microservices on GCP cloud-native platforms.
Develop and integrate event-driven data processing pipelines using Kafka and Spark to support transaction monitoring and data controls.
Implement AI-driven automation solutions including LLM/Agentic AI and RAG patterns to improve efficiency, controls, and decision-making.
Strong hands-on expertise in both frontend UI (React or Angular, TypeScript/JavaScript) and backend development (Java 8/11/17+, Spring Boot, microservices).
Experience with cloud-native application development on GCP (App Engine, GKE, Cloud Run) and event-driven architectures using Kafka and Apache Spark.
Work Experience Required: Not explicitly mentioned in the JD
Experience with REST APIs, transactional databases (e.g., Oracle, BigQuery), and CI/CD tools (TeamCity, Jenkins, or GitHub Actions).
Proven ability designing and delivering enterprise-grade, scalable, high-performance cloud-native solutions with emphasis on security and fault tolerance.
Experience applying AI technologies practically (e.g., LLMs, Agentic AI frameworks like LangChain) in production to automate workflows and enhance controls within transaction monitoring or data control domains.
Familiarity with regulated finance domain concepts such as payment screening, fraud detection, integrity monitoring, and experience working in globally distributed agile teams.