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, Java Script/Type Script, HTML5, and CSS Strong integration experience with core banking or lending platforms Experience with CI/CD tools (e.g., Jenkins, Git Lab)

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., Git Lab 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:

Dev Ops & Tooling: Experience with CI/CD tools (e.g., Git Lab, Jenkins)