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.
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.
Implement and improve CI/CD pipelines, automated testing, and observability.

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).

Senior Software & AI Engineer

Key skills