Globalization Platform Engineer – LLM-Driven Backend

Stripe, Inc.

Barcelona

On-site

EUR 80,000 - 120,000

Full time

7 days ago
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Job summary

Stripe, Inc. is seeking an experienced backend/platform engineer to design, implement, and maintain its internationalisation platform at scale in Barcelona.

You will help teams localize products across languages and markets, ensuring reliable, high-quality translated experiences. You will work across backend services, LLM systems, and translation workflows, improving speed, quality, and observability while migrating from legacy localization infrastructure.

Qualifications

  • Strong coding skills across any language; language-agnostic interview process.
  • Experience building reliable infrastructure, platform, or backend-service solutions.
  • Ability to own ambiguous work end to end and drive progress.
  • Excellent written and verbal communication in cross-functional teams.

Responsibilities

  • Design and build internationalisation infrastructure supporting diverse content surfaces.
  • Integrate localization into development and content workflows to ship translated experiences continuously.
  • Build and maintain integrations with translation-management systems and LLM services.
  • Evolve LLM capabilities to improve translation quality and efficiency.
  • Develop automated quality checks and human-evaluation workflows.
  • Maintain reliability with testing, monitoring, and incident response.
  • Own high-impact initiatives end to end—from research to launch and iteration.

Skills

Backend engineering
Localization infra
LLM systems
CI/CD
Go/Java/Ruby

Tools

Translation management systems
LLM services

Job description

Stripe, Inc. is seeking an experienced backend/platform engineer to design, implement, and maintain its internationalisation platform at scale in Barcelona.

You will help teams localize products across languages and markets, ensuring reliable, high-quality translated experiences. You will work across backend services, LLM systems, and translation workflows, improving speed, quality, and observability while migrating from legacy localization infrastructure.

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