Project description
As a Senior 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
- 8+ 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)