Overview In this role you will design and build high-scale, cloud-native systems that power vehicle history, VIN intelligence, and transaction platforms.

You will work on Java/Spring Boot services in AWS, with event-driven data pipelines and AI-assisted development practices.

You’ll influence architecture, drive high-performance APIs, and mentor engineers while collaborating with partners to deliver mission-critical integrations.

The opportunity centers on scalable, reliable systems and introducing intelligent, AI-powered enhancements that improve development and operations.

Responsabilidades * Design and deliver high-performance APIs and microservices for vehicle history and transaction systems * Build and scale Java/Spring Boot services in AWS for real-time workloads * Architect and implement event-driven pipelines using Kafka/SQS * Lead development of complex features and platform enhancements * Contribute to architecture for scalability and reliability across services * Improve CI/CD, observability, testing, and performance tuning * Collaborate with product, data, and partner teams on integrations * Own full SDLC: design, build, deploy,



operate * Mentor engineers and foster engineering culture through reviews and leadership * Integrate AI-assisted workflows and agent-driven capabilities into engineering processes and production systems * Evaluate AI outputs for quality, security, and compliance; optimize latency and cost for AI-powered solutions * Apply knowledge of embeddings, fine-tuning, and dataset prep to real-world use cases Requisitos principales * Bachelor’s degree in CS or related field (or equivalent) * 10+ years building large-scale distributed systems * Strong Java and Spring Boot, microservices, REST API design * Hands-on AWS experience (compute, storage, containers, networking, security, monitoring) * Experience with event-driven architectures (Kafka, SQS, ActiveMQ) * Observability tools experience (Splunk, Dynatrace, Datadog) * Front-end experience with React/Java

Script/HTML/CSS (full-stack preferred) * PostgreSQL/DB2 and performance tuning * Solid Agile, SDLC, and modern engineering practices * Infrastructure as Code (Terraform, Cloud

Formation) * collaboration * mentorship * communication * Java * Spring Boot * microservices architecture

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