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



and data models is essential
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• Expertise in Java, Spring Boot, REST, and Kafka / MQ
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• Experience in React, JavaScript/TypeScript, HTML5, and CSS
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• Strong integration experience with core banking or lending platforms
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• Experience with CI/CD tools (e.g., Jenkins, GitLab)
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• Cloud & Architecture:
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• Hands-on experience with Microsoft Azure services
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• Experience building serverless solutions using Azure Functions
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• Solid understanding of cloud-native architecture and integration patterns (e.g., event-driven, microservices, API-led connectivity)
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• Familiarity with messaging and integration services on Azure (e.g., Service Bus, Event Grid) is a plus
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• AI-Assisted Development:
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• Hands-on experience with AI-assisted coding tools (e.g., GitLab Copilot, IDE-based copilots)
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• Familiarity with using generative AI tools for code generation, unit test creation, debugging, and documentation
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• Ability to apply AI tools responsibly to improve developer productivity and code quality while maintaining governance and standards Nice-to-Have Skills Description:
• DevOps & Tooling:
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• Experience with CI/CD tools (e.g., GitLab, Jenkins)

📌 Java FullStack Developer (India)
🏢 Luxoft India
📍 India