Full Stack Java Engineer Pune

Luxoft; Pune District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Luxoft in Pune, India is looking for a senior backend engineer to design and implement financial services integrations. You will work with Loan IQ integration, APIs, and data models, build robust microservices using Java, Spring Boot, REST, and Kafka/MQ, and collaborate on front-end aspects with React, JavaScript/TypeScript, HTML5 and CSS.

You will also contribute to cloud-native patterns, and CI/CD pipelines with Jenkins and GitLab, embracing AI-assisted development practices to improve code

Qualifications

• 5+ years of backend development experience, ideally in financial services.
• Experience with Loan IQ integration, APIs, and data models is essential.
• Expertise in Java, Spring Boot, REST, and Kafka / MQ.
• Experience in React, JavaScript/TypeScript, HTML5, and CSS.
• Strong integration experience with core banking or lending platforms.
• Experience with CI/CD tools (e.g., Jenkins, GitLab).

Skills

Backend development

Loan IQ integration

Java

Spring Boot

REST

Kafka / MQ

React

JavaScript/TypeScript

HTML5

CSS

CI/CD

Tools

Jenkins

GitLab

Job description

Mandatory Skills Description

• 5+ years of backend development experience, ideally in financial services
• Experience with Loan IQ integration, APIs, and data models is essential
• Expertise in Java, Spring Boot, REST, and Kafka / MQ
• Experience in React, JavaScript/TypeScript, HTML5, and CSS
• Strong integration experience with core banking or lending platforms
• Experience with CI/CD tools (e.g., Jenkins, GitLab)

Cloud & Architecture

• Hands-on experience with Microsoft Azure services
• Experience building serverless solutions using Azure Functions
• Strong understanding of cloud-native architecture and integration patterns (e.g., event-driven, microservices, API-led connectivity)
• Familiarity with messaging and integration services on Azure (e.g., Service Bus, Event Grid) is a plus

AI-Assisted Development

• Hands-on experience with AI-assisted coding tools (e.g., GitLab Copilot, IDE-based copilots)
• Familiarity with using generative AI tools for code generation, unit test creation, debugging, and documentation
• Ability to apply AI tools responsibly to improve developer productivity and code quality while maintaining governance and standards