Senior AI Software Engineer

GFT Technologies

. Design and build high-scale, cloud-native systems processing millions of vehicle history and transaction requests daily .

Posted 10/10/2026full-timeRemote • Costa RicaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building high-scale, cloud-native systems, with a strong focus on Java, Spring Boot, and AWS. Capable of leading complex features and optimizing AI-powered solutions while ensuring system reliability and performance.

Highest-signal resume keywords

JavaSpring BootAWSMicroservices ArchitectureEvent-Driven Architecture

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Hard Skills

REST API DesignCI/CD PipelinesDatabase Performance TuningAgile MethodologiesInfrastructure as Code

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

KafkaSQSSplunkDatadogGitHub Copilot

Industry Keywords

Automotive DataVIN DecodingHigh-Availability SystemsAI/ML PlatformsEnterprise APIs

Tech Stack

Tools & technologies

AWSCloudJavaJavaScriptKafkaMicroservicesPostgresReactSDLCSplunkSpringSpring BootSpringBootTerraform

About the role

Key responsibilities & impact

Design and build high-scale, cloud-native systems processing millions of vehicle history and transaction requests daily
Own the design and delivery of high-performance, low-latency APIs and microservices for vehicle history, VIN intelligence, and transaction systems
Build and scale Java/Spring Boot services in AWS 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 from design through operation
Mentor engineers through code reviews and technical leadership
Leverage AI-assisted development tools and integrate agent-driven capabilities into engineering processes or production systems
Build intelligent features using AI models and APIs
Evaluate and productionize AI-generated outputs
Optimize AI-powered solutions for latency, cost, reliability, and observability

Requirements

What you’ll need

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)
Experience working with automotive data, VIN decoding, or vehicle lifecycle systems (desired or nice to have)
Familiarity with high-availability systems (99.9%+ uptime) and strict latency SLAs (desired or nice to have)
Experience integrating with enterprise partners or external APIs at scale (desired or nice to have)
Exposure to AI/ML platforms or deploying AI-powered features in production (desired or nice to have)
Required use of GitHub Copilot, Codex, Cursor, and Claude Code
Knowledge of embeddings, fine-tuning, and dataset preparation
Experience with prompt design, multi-step orchestration, API-based task execution, and MCP or similar patterns
Ability to ensure AI-generated outputs meet enterprise quality, security, and compliance standards

Benefits

Comp & perks

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