Senior Full Stack Software Development Engineer - AI

Experian is a global data and technology company, powering opportunities for people and businesses around the world. The Senior Full Stack Software Development Engineer - AI will design and build high-scale, cloud-native systems that process vehicle history and transaction requests, while also serving as a technical leader to influence platform direction and mentor engineers.

Responsibilities:

• Design, build, and support high‑performance APIs and microservices for vehicle history, VIN intelligence, and transaction systems
• Develop and scale Java/Spring Boot services in a modern AWS cloud‑native environment
• Architect event‑driven systems using Kafka, SQS, or similar technologies to enable asynchronous processing and data pipelines
• Contribute to platform‑wide decisions around architecture, scalability, resiliency, and security
• Implement and continuously improve CI/CD pipelines, automated testing strategies, and observability practices
• Participate in full SDLC ownership: design → build → deploy → operate (“you build it, you own it”)
• Collaborate closely with product, data, and partner teams to deliver mission‑critical integrations
• Mentor engineers and help cultivate a high‑performing, collaborative engineering culture
• Leverage tools such as GitHub Copilot, Codex, Cursor, and Claude Code to accelerate development, testing, and documentation
• Design and integrate AI‑assisted or agent‑driven workflows into engineering processes and/or production systems
• Build or support AI‑powered features such as automation, decisioning, recommendations, or data enrichment
• Create tool‑integrated agent workflows, including prompt design, orchestration, and API‑based execution
• Evaluate and productionize AI‑generated outputs with a strong focus on security, quality, compliance, cost, and observability

Requirements:

• 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
• Experience with Infrastructure as Code (Terraform, CloudFormation, or similar)
• Experience working with automotive data, VIN decoding, or vehicle lifecycle systems
• Familiarity with high-availability systems (99.9%+ uptime) and strict latency SLAs
• Experience integrating with enterprise partners or external APIs at scale
• Exposure to AI/ML platforms or deploying AI-powered features in production