Job description_About the Role_Join our client 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, , 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.

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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 & Agentic Systems (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). 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.

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)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. xcskxlj

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!!

📌 Sr. AI Software Engineer (Álava)
🏢 Gft Technologies
📍 Álava