GFT Technologies
GFT Technologies
GFT Technologies je tehnološko podjetje, ki se ukvarja z digitalno preobrazbo ter deluje na področjih svetovanja, zavarovalništva in kibernetske varnosti. Njegova platforma Cookiebot organizacijam pomaga zbirati in upravljati soglasja uporabnikov ter podpirati skladnost s predpisi o zasebnosti, vključno z uredbama GDPR in CCPA. Rešitve podjetja so zasnovane za integracijo v obstoječa digitalna okolja, uporablja pa jih več kot 600.000 strank po vsem svetu za bolj pregledno in nadzorovano upravljanje osebnih podatkov.

Senior AI Software Engineer

Build AWS-based Java systems for a vehicle data platform, developing APIs, microservices, and agentic AI workflows for automotive transactions.

Opis

  • Design and build cloud-native systems that process millions of vehicle history and transaction requests daily.
  • Lead delivery of low-latency APIs and microservices for vehicle history, VIN intelligence, and transactions.
  • Develop scalable Java and Spring Boot services on AWS for high-throughput, real-time workloads.
  • Architect event-driven systems with Kafka or SQS for asynchronous processing and data pipelines.
  • Lead complex features, platform improvements, and proofs of concept.
  • Shape architectural decisions on system scalability and reliability.
  • Improve CI/CD, automated testing, observability, logging, tracing, and performance tuning.
  • Work with product, data, and partner teams on critical integrations and APIs.
  • Manage the software lifecycle from design through production operations.
  • Mentor engineers through code reviews and technical guidance.
  • Use AI-assisted development tools and integrate agent-driven capabilities into engineering workflows or production systems.
  • Develop intelligent features using AI models and APIs.
  • Assess AI-generated outputs and prepare them for production use.
  • Tune AI solutions for latency, cost, reliability, and observability.

Zahteve

  • Bachelor’s degree in computer science, software engineering, or a related field, or equivalent experience.
  • At least 10 years of experience, or equivalent, building large-scale distributed systems with high transaction volumes.
  • Strong expertise in Java, Spring Boot, microservices, and REST API design.
  • Practical AWS experience across compute, storage, containers, networking, security, and monitoring.
  • Experience building event-driven architectures with Kafka, SQS, ActiveMQ, or similar technologies.
  • Experience using observability tools such as Splunk, Dynatrace, or Datadog to debug and improve performance.
  • Front-end experience with React, JavaScript, and HTML/CSS; full-stack capability is preferred.
  • Experience with PostgreSQL or DB2 and database performance tuning.
  • Solid knowledge of Agile, the software development lifecycle, and modern engineering practices.
  • Experience with infrastructure as code using Terraform, CloudFormation, or similar tools.
  • Automotive data, VIN decoding, or vehicle lifecycle experience is preferred.
  • Familiarity with high-availability systems targeting 99.9% or greater uptime and strict latency SLAs is preferred.
  • Experience integrating with enterprise partners or external APIs at scale is preferred.
  • Exposure to AI/ML platforms or deploying AI-powered features in production is preferred.
  • Use of GitHub Copilot, Codex, Cursor, and Claude Code is required.
  • 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.

Ugodnosti

  • Remote work.
  • An environment that supports work-life balance.
  • Multidisciplinary teams.
  • A diverse global team and an atmosphere that supports learning and personal growth.
  • A personalized career path.
  • Training programs.
  • High-impact projects with leading industry clients.

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