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Full Stack Java Engineer

5 - 10 years

Pune

Posted:1 week ago

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Job Description


Job Description

Project Description:

As an Integration Engineer, you'll drive the design and delivery of integration components that connect Loan IQ with upstream and downstream systems.

You'll lead technical implementation within your pod, mentor mid-level developers, and leverage modern AI-assisted development tools and cloud-native patterns to enhance productivity, code quality, scalability, and delivery speed.

Responsibilities:

  • Lead design and development of REST APIs and messaging interfaces
  • Build reusable UI components & frontend frameworks aligned with enterprise standards
  • Oversee code quality, conduct peer reviews, and enforce integration best practices
  • Collaborate with QA and BA/Product Owner on end-to-end solutions
  • Contribute to CI/CD setup and release processes
  • Troubleshoot issues and improve performance across interfaces
  • Design & implement cloud-native integrations using Azure services & serverless patterns
  • Leverage AI-assisted development tools to accelerate code, test, & debug workflows
  • Promote AI-based engineering practices & cloud best practices within the team

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

Skills Required

GitLab Copilot Loan IQ Microsoft Azure services Kafka / MQ Full Stack Java Gitlab Microsoft Azure Java

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