Senior Software Engineer, AI

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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Design and deliver high-performance, low-latency APIs and microservices powering vehicle history, VIN intelligence, and transaction systems • Build and scale Java/Spring Boot services in a cloud-native AWS environment for high-throughput, real-time workloads • Architect and implement event-driven systems using Kafka/SQS for asynchronous processing and data pipelines • Lead complex features, platform enhancements, and proof-of-concepts • Influence system architecture, scalability, and reliability decisions • Implement and improve CI/CD pipelines, automated testing, observability, logging, tracing, and performance tuning • Collaborate with product, data, and partner teams on mission-critical integrations and APIs • Own the full software development lifecycle: design, build, deploy, and operate • Mentor engineers and contribute through code reviews and technical leadership • Leverage AI-assisted development tools and design agent-driven workflows • Build or support intelligent features using AI models and APIs • Develop tool-integrated agent workflows involving prompt design, orchestration, and API-based task execution • Evaluate and productionize AI-generated outputs for quality, security, and compliance • Optimize AI-powered solutions for latency, cost, reliability, and observability • Apply embeddings, fine-tuning, and dataset preparation to business use cases

🎯 Requirements

• Bachelor’s degree in computer science, Software Engineering, or related field, or equivalent experience • 10+ years of experience building large-scale, distributed, high-volume transactional systems, or equivalent experience • Strong expertise in Java, Spring Boot, microservices architecture, and REST API design • Hands-on AWS experience across compute, storage, containers, networking, security, and monitoring • Experience with event-driven architectures such as Kafka, SQS, or ActiveMQ • Strong experience with observability tools such as Splunk, Dynatrace, or Datadog • Front-end experience with React, JavaScript, and HTML/CSS; full-stack capability preferred • Experience with PostgreSQL or DB2 and database performance tuning • Understanding of Agile, SDLC, and modern engineering best practices • Experience with Infrastructure as Code tools such as Terraform or CloudFormation • Required experience with GitHub Copilot, Codex, Cursor, Claude Code, AI-assisted workflows, agent-driven capabilities, AI models and APIs, prompt design, orchestration, and API-based task execution • Foundational knowledge of embeddings, fine-tuning, and dataset preparation

🏖️ Benefits

• Trabajo remoto • Entorno que respalda el balance de la vida personal y laboral • Equipos multidisciplinarios • Equipo global diverso • Plan de carrera personalizado • Programas de formación • Proyectos de alto impacto con clientes líderes de la industria