IT & Software

Senior Full Stack Java Engineer

Luxoft

London · Greater London · United Kingdom

Overview

In this role you will design, develop and deliver enterprise integrations connecting Loan IQ with upstream and downstream platforms. You will leverage cloud-native tech, AI-assisted development, and Agentic AI practices to boost software quality, scalability, and delivery velocity. You will build AI-powered agents to automate SDLC processes and collaborate with cross-functional teams to implement end-to-end solutions. This is a hands-on, impact-focused position in financial services engineering with a keen emphasis on modern automation and cloud-native patterns.

Responsibilities
  • Design and develop REST APIs, event-driven integrations, and messaging interfaces
  • Build and maintain integrations between Loan IQ and enterprise applications
  • Design and implement AI-powered agents and workflows to improve SDLC productivity
  • Leverage AI-assisted tools to accelerate coding, testing, debugging, reviews and documentation
  • Collaborate with QA, BAs, POs, and Architects to deliver end-to-end solutions
  • Conduct code reviews and promote best practices in engineering, integration and cloud
  • Contribute to CI/CD automation, release management and deployment processes
  • Design and implement cloud-native integrations using Azure and serverless tech
  • Troubleshoot production issues and optimize performance
Key requirements
  • 8+ years of software engineering experience, ideally in Financial Services
  • Strong expertise in Java, Spring Boot, REST APIs, and distributed systems
  • Experience with Kafka, IBM MQ or similar messaging technologies
  • Strong integration experience with Loan IQ, lending, banking, or enterprise platforms
  • Deep understanding of API design, system integration, and enterprise architecture
  • Experience building AI Agents and Agentic Software Engineering solutions to automate SDLC processes
  • Hands-on with Java-based AI frameworks (Spring AI, LangChain4j, Semantic Kernel, MCP) or similar
  • Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures
  • Experience applying AI to code generation, automated testing, code reviews, documentation generation, troubleshooting
  • Strong understanding of AI governance, security, observability, and responsible AI practices
  • Hands-on Azure services experience, serverless Azure Functions, cloud-native architecture, microservices and event-driven patterns
  • Experience with Azure Service Bus, Event Grid or similar
  • Familiarity with Azure OpenAI and AI-enabled cloud architectures is desirable
  • Experience with AI-assisted development tools (GitHub Copilot, GitLab Duo, Cursor, Windsurf) and Generative AI
  • Experience with GitLab CI/CD, Jenkins, Azure DevOps, Docker, Kubernetes and deployment automation
  • cross-functional collaboration
  • problem-solving
  • clear communication
  • Java
  • Spring Boot
  • REST APIs

Reference: WJ-747_31038507

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