Full Stack Java Engineer

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

Nice-to-Have Skills Description:

• DevOps & Tooling:
• • Experience with CI/CD tools (e.g., GitLab, Jenkins)