Java FullStack Developer
Posted 4
views
Summary
Builds and integrates REST APIs, cloud-native services, and UI components for a lending platform using Java, Spring Boot, React, and Azure.
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)