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Full Stack Java Engineer
Job Description
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)
More Info
Key Skills
event-driven microservices
cloud-native architecture
Kafka MQ
API-led connectivity
CI CD tools
Microsoft Azure services
AI-assisted coding tools
Event Grid
GitLab Copilot
About Company
Skills:
Java, CSS, Cloud Architecture, Spring Boot, Jenkins, React, REST, Typescript, Azure Functions, Javascript, Html5, Gitlab, AI-Assisted Development, event-driven microservices, cloud-native architecture, Kafka MQ, API-led connectivity, CI CD tools, IDE-based copilots, Service Bus, Microsoft Azure services, Event Grid, GitLab Copilot
Skills:
Java, CSS, Spring Boot, React, REST, Typescript, Azure Functions, Javascript, Html5, event-driven microservices, Kafka MQ, API-led connectivity, CI CD tools, Service Bus, Microsoft Azure services, AI-assisted coding tools, Event Grid, GitLab Copilot
Skills:
Html5, CSS, Kafka, Rest Api, Full Stack Java Engineer, CI/CD
Skills:
Dead-letter Queues (DLQ), Dependency Injection (DI), Java, Rabbitmq, Spring Boot, Kotlin, Sql, Query Optimization, Rxjs, Rest Apis, JDBC, Message Acknowledgements, Exchanges and Routing, Spring Configuration Profiles, Transactions, Microservices Architecture, Stored Procedures, Reactive Forms, Execution Plan Analysis, Messaging Patterns, Retry Mechanisms, JPA Hibernate
Skills:
scalable architecture , Java, Graphql, Data Structures, Spring Boot, Sql, Microservices, Jenkins, Algorithms, Docker, Reactjs, System Design, Rest Apis, Kubernetes, NoSQL databases, Software engineering best practices, Asynchronous event-driven microservices, Integration with internal and third-party services, Next.js