Lead software engineer (Full stack - Java)

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, platform enhancements, and proof-of-concepts that drive business impact.

·       Contribute to and influence system architecture, scalability, and reliability decisions across services.

·       Implement and improve CI/CD pipelines, automated testing, and observability (logging, tracing, performance tuning).

·       Collaborate closely with product, data, and partner teams to deliver mission-critical integrations and APIs.

·       Participate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”).

·       Mentor engineers and contribute to a strong engineering culture through code reviews and technical leadership.

 

AI-Assisted Engineering (Required)

·       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).

 

Qualifications

• • 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. • Strong 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). • Strong experience with observability tools (e.g., Splunk, Dynatrace, Datadog) for debugging and performance optimization. • Front-end experience with React, JavaScript, HTML/CSS (full-stack capability preferred). • Experience with PostgreSQL/DB2 and database performance tuning. • Solid understanding of Agile, SDLC, and modern engineering best practices.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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