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)