Senior Full Stack Software Development Engineer - AI

Experian • Madison, MS

6h • Remote

About The Position

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.
As a Senior AI Full‑Stack Software Development Engineer, you will design and build high‑scale, low‑latency cloud services that power vehicle history, VIN intelligence, and transaction platforms used by major automotive partners and marketplaces. You will operate as a technical leader owning architecture, influencing platform direction, mentoring engineers, and helping define the next generation of AI‑enabled development practices.
This role blends deep distributed systems engineering with hands‑on AI‑assisted development, allowing you to shape both core platform architecture and intelligent automation capabilities across the software development lifecycle.
This role reports to the Senior Director Software Development.

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).

Nice To Haves

• 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.

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.

Benefits

• Great compensation package and bonus plan
• Core benefits including full medical, dental, vision, and matching 401K
• Fully remote environment
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees