Senior Full Stack Java Engineer

Overview

In this role you will design and deliver integration components connecting Loan IQ with upstream and downstream systems, guiding a pod of developers and promoting cloud-native patterns. You will mentor mid-level engineers and leverage AI-assisted development tools to improve productivity, quality, and delivery speed. The position focuses on building scalable, robust integrations within a financial services context and collaborating with cross-functional teams to drive end-to-end solutions. This is an opportunity to shape integration architecture and leverage modern cloud and AI tools at scale.

Responsibilities

• Lead design and development of REST APIs and messaging interfaces
• Build reusable UI components and frontend frameworks aligned with enterprise standards
• Oversee code quality through 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 and implement cloud-native integrations using Azure services and serverless patterns
• Leverage AI-assisted development tools to accelerate code, test, and debug workflows
• Promote AI-based engineering practices and cloud best practices within the team

Key requirements

• 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)
• 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
• 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

• leadership
• mentoring
• collaboration
• Java
• Spring Boot
• REST

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