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# Backend Engineer

- **Company:** Stripe
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Continuous Integration, Machine Learning, Ruby, Large Language Models, Backend, Stripe, Programming Languages
- **Published:** November 8, 2026
- **Apply:** https://startup.jobs/backend-engineer-internationalisation-stripe-10717452

## About the Role

* Strong coding skills in any programming language (we understand new languages can be learned on the job so our interview process is language agnostic)
 * Experience developing reliable infrastructure, platform, or backend-service solutions.
 * Strong product judgment and a commitment to building high-quality user and developer experiences.
 * Ability to own ambiguous work end to end and make progress through research, experimentation, and iteration.
 * Strong written and verbal communication skills, with the ability to work effectively in a collaborative, cross-functional environment., * Experience building or operating production LLM or machine-learning systems.
 * Experience evaluating LLM output or combining automated systems with expert human review.
 * Familiarity with internationalisation, localization, translation, or content-management workflows.
 * Experience with CI/CD systems, developer platforms, or workflow infrastructure.
 * Backend engineering experience building services using programming languages such as Java, Ruby, or Go.
 * Experience building internal platforms that ultimately support customer-facing products.

## Description

* Design and build internationalisation infrastructure that supports diverse content surfaces, including backend services, product interfaces, and written communications.
 * Integrate localization into Stripe's software-development and content-production workflows, enabling teams to ship translated experiences continuously and safely.
 * Build and maintain integrations with translation-management systems, LLM services and external localization providers.
 * Evolve Stripe's existing production LLM capabilities to improve translation quality, market relevance, turnaround time, and operational efficiency.
 * Develop automated quality checks and human-evaluation workflows that combine LLM-driven automation with expert linguistic judgment.
 * Maintain a high bar for reliability through effective testing, monitoring, alerting, and operational processes.
 * Own ambiguous, high-impact initiatives end to end-from research and experimentation through implementation, launch, measurement, and iteration.