Java Full Stack Engineering Lead - Vice President at Citi

Location: Pune, Maharashtra
Type: Full-time
Level: lead/mgmt
Posted: Jul 20, 2026

Description

Citi Finance Technology is hiring a Full Stack Technical Lead to architect and build a greenfield, AI-powered Adjustment Platform for finance operations. The role combines enterprise full-stack application development with agentic AI, NLP, LLM-powered conversational interfaces, and generative AI, while leading a technical team and partnering with Finance, Risk, and Engineering. Candidates need at least 9 years of application development or systems analysis experience, strong enterprise-scale architecture and full-stack expertise, and experience with modern Java, React, TypeScript, Node.js, microservices, cloud, DevOps, databases, and testing technologies.

Required Skills

React
TypeScript
Node.js
Java
Spring Boot
Microservices
NLP
Generative AI
Kubernetes
CI/CD
Jest
MongoDB

Additional Information

Minimum Education: Bachelor's or university degree, or equivalent experience
Required Previous Experiences: 9+ years of application development or systems analysis experience, including enterprise-scale application architecture
Enterprise-scale application architecture and production implementation
Full-stack development with React, TypeScript, Node.js, CSS, and Java
Modern React UI framework design, including conversational or chat-based interfaces
API development and ecosystem experience
Java, Spring, Spring Boot, Spring Cloud, Spring Data JPA, and microservices experience
Test-driven development with Jest, Cypress, JUnit, and Mockito
Containerization and orchestration with OpenShift, Docker, and Kubernetes
CI/CD and build tooling with Jenkins, Tekton, UDeploy, Harness, NPM, Maven, and Gradle
SQL, MongoDB, and Oracle database experience
Financial services or large, complex global environment experience
Preferred Qualifications: NLP techniques, including intent detection, entity extraction, classification, and summarization
Conversational AI and chatbot development with LLMs
Generative AI fluency with productivity and coding tools
Observability and monitoring technologies
Middleware and streaming technologies
Low-code automation platforms
Master's degree