Senior Software &Ai Engineer

Job description_About the Role_This project powers one of the industry’s most trusted vehicle data platforms.The candidate will 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..A day in this role_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.The expertise requested_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)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).Evaluate and productionize AI-generated outputs, ensuring code quality, security, and compliance with enterprise standards.Optimize AI-powered solutions for latency, cost, reliability, and observability in production environments.Apply foundational knowledge of embeddings, fine-tuning, and dataset preparation to adapt AI capabilities to real-world business use cases..Desired or nice to have expertise_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.Our Core values are focus to inclusion and diversity, all qualified applicants will be considered for employment and will go thru a fair recruitment process regardless of their race, religion, gender identity, sexual orientation, national origin or disability status.Your journey with us begins here!!

Mentor engineers and contribute to a strong engineering culture through code reviews and technical leadership.The expertise requested_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)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). Evaluate and productionize AI-generated outputs, ensuring code quality, security, and compliance with enterprise standards. Optimize AI-powered solutions for latency, cost, reliability, and observability in production environments. Apply foundational knowledge of embeddings, fine-tuning, and dataset preparation to adapt AI capabilities to real-world business use cases. .Desired or nice to have expertise_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.Our Core values are focus to inclusion and diversity, all qualified applicants will be considered for employment and will go thru a fair recruitment process regardless of their race, religion, gender identity, sexual orientation, national origin or disability status.Your journey with us begins here!!