DXC - Full Stack Java Engineer - Loan IQ

Project Description :As an Full Stack Java 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 teamMandatory 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 plusAI-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) (ref:hirist.tech)