01Overview
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
SKILLS
Must have
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
Nice to have
DevOps & Tooling:
Experience with CI/CD tools (e.g., GitLab, Jenkins) .
