Senior Java FullStack Developer

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)