Experian
Data and technology
Leadsoftwareengineer(Fullstack-Java)
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“Lead software engineer (Full stack - Java) at Experian. Skills: Java, Spring Boot, Microservices architecture, AWS. Own design and delivery of APIs and microservices. Build and scale Java/Spring Boot services”
What You'll Achieve.
Power one of the industry’s most trusted vehicle data platforms; Design and build high-scale, cloud-native systems; Process millions of vehicle history and transaction requests daily; Support major partners across dealerships, lenders, marketplaces, and enterprise platforms; Drive business impact; Ensure system scalability and reliability; Deliver mission-critical integrations and APIs; Accelerate development, testing, and documentation
Industry & Context.
What They're Looking For.
Must Have
Bachelor’s degree in computer science, Software Engineering, or related field (or equivalent experience), 10+ years (or equivalent experience) building large-scale, distributed, high-volume transactional systems, expertise in Java, Spring Boot, microservices architecture, and REST API design, Hands-on experience with AWS (compute, storage, containers, networking, security, monitoring), Experience building event-driven architectures (Kafka, SQS, ActiveMQ, or similar), experience with observability tools (e.g., Splunk, Dynatrace, Datadog) for debugging and performance optimization, Experience with PostgreSQL/DB2 and database performance tuning, Solid understanding of Agile, SDLC, and modern engineering best practices, Leverage tools like GitHub Copilot, Codex, Cursor, and Claude Code to accelerate development, testing, and documentation, Design and integrate AI-assisted workflows and agent-driven capabilities into engineering processes and/or production systems, Build or support intelligent features (e.g., automation, recommendations, data enrichment, or decisioning) using AI models and APIs, Develop tool-integrated agent workflows, including prompt design, multi-step orchestration, and API-based task execution (e.g., MCP or similar patterns)
Nice to Have
Front-end experience with React, JavaScript, HTML/CSS (full-stack capability preferred)
What You'll Do.
Own design and delivery of APIs and microservices
Build and scale Java/Spring Boot services
Architect and implement event-driven systems
Lead development of complex features
Contribute to system architecture decisions
Implement and improve CI/CD pipelines
Participate in full SDLC ownership
Leverage AI tools for development
Design AI-assisted workflows
Build intelligent features using AI
Develop tool-integrated agent workflows
How You'll Work.
Team & Collaboration
Collaborate closely with product, data, and partner teams; Contribute to a engineering culture through code reviews
Full Job Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job description Role Overview Join Experian Automotive and help power one of the industry’s most trusted vehicle data platforms. You’ll design and build high-scale, cloud-native systems that process millions of vehicle history and transaction requests daily, supporting major partners across dealerships, lenders, marketplaces, and enterprise platforms (e.g., Carvana, Cox Automotive, Cars.com, and others). This role blends modern distributed systems engineering with AI-assisted development and emerging agentic workflows, giving you the opportunity to shape both core platform architecture and the next generation of intelligent engineering practices. What You’ll Do · Own the design and delivery of high-performance, low-latency APIs and microservices powering vehicle history (VHR), VIN intelligence, and transaction systems. · Build and scale Java/Spring Boot services in a cloud-native AWS environment, handling high-throughput, real-time workloads. · Architect and implement event-driven systems using Kafka/SQS to support asynchronous processing and data pipelines. · Lead development of complex features,
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