GFT Technologies
GFT Technologies
GFT Technologies ir tehnoloģiju un digitālās transformācijas uzņēmums, kas darbojas konsultāciju, apdrošināšanas un kiberdrošības jomā. Tā Cookiebot platforma palīdz organizācijām vākt un pārvaldīt lietotāju piekrišanas, vienlaikus atbalstot privātuma regulējuma, tostarp GDPR un CCPA, ievērošanu. Uzņēmuma risinājumi ir izstrādāti integrēšanai esošajās digitālajās vidēs, un tos visā pasaulē izmanto vairāk nekā 600 000 klientu, lai personas datus apstrādātu ar lielāku pārskatāmību un kontroli.

Senior AI Software Engineer

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

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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