Senior Full Stack Java Engineer

Luxoft; Greater London; On-site; GBP 110,000 - 150,000; Full time

Job summary

Luxoft in London is seeking a Senior Full Stack Java Engineer to design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms.

You will leverage AI-assisted development tools and Agentic AI practices to automate SDLC processes, improve coding efficiency, testing, debugging, and documentation while collaborating with QA, business analysts, product owners, and architects for end-to-end delivery.

Qualifications

• 8+ years of software engineering experience, preferably in Financial Services.
• Expertise in Java, Spring Boot, REST APIs and distributed systems.
• Experience with Kafka, IBM MQ or similar messaging tech.
• Strong integration experience with Loan IQ or enterprise platforms.
• Hands-on with AI agents and agentic software engineering concepts.

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 to improve SDLC processes and productivity.
• Leverage AI-assisted tools to accelerate coding, testing, debugging, reviews, and docs.
• Collaborate with QA, BAs, POs, and Architects to deliver end-to-end solutions.
• Conduct code reviews and promote engineering, integration, and cloud best practices.
• Contribute to CI/CD automation, release management, and deployment processes.
• Design cloud-native integrations using Azure services and serverless tech.
• Troubleshoot production issues and optimize performance.

Skills

8+ years experience

Java

Spring Boot

REST APIs

Distributed systems

Kafka / IBM MQ

Loan IQ integration

AI agentic development

AI frameworks (Spring AI, LangChain4j)

Azure cloud & serverless

Job description

Project description

As a Senior Full Stack Java Engineer within the US Corporate Loans POD, you will design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will leverage modern cloud-native technologies, AI-assisted development tools, and Agentic AI practices to improve software quality, scalability, and delivery velocity.A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes.

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 that improve SDLC processes and engineering productivity.
• Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation.
• Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions.
• Conduct code reviews and promote engineering, integration, and cloud best practices.
• Contribute to CI/CD automation, release management, and deployment processes.
• Design and implement cloud-native integration solutions using Azure services and serverless technologies.
• Troubleshoot production issues and optimize application and integration performance.

SKILLS

Must have

• Core Engineering
• 8+ years of software engineering experience, ideally within 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 application architecture.Agentic AI & Software Engineering
• Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes.
• Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies.
• 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 and incident analysis
  • Developer productivity automation
• Strong understanding of AI governance, security, observability, and responsible AI practices.Cloud & Architecture
• Hands-on experience with Microsoft Azure services.
• Experience building serverless solutions using Azure Functions.
• Strong understanding of cloud-native architecture, microservices, and event-driven integration patterns.
• Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms.
• Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.AI-Assisted Development
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor, Windsurf, or similar platforms.
• Experience leveraging Generative AI for coding, testing, debugging, documentation, and engineering productivity improvements.
• Ability to apply AI tools responsibly while maintaining governance, compliance, security, and quality standards.DevOps & Tooling
• Experience with GitLab CI/CD, Jenkins, Azure DevOps, or similar CI/CD platforms.
• Experience with Docker, Kubernetes, and containerized deployments.
• Strong understanding of DevOps, automated testing, release management, and deployment automation.

Nice to have

• Experience in Commercial Lending, Loan Servicing, Corporate Banking, or Capital Markets.
• Azure certifications or relevant cloud certifications.
• Experience building enterprise AI applications, copilots, or agentic solutions.
• Passion for modern software engineering, AI innovation, and platform modernization.