This role combines backend and platform engineering with emerging LLM technology. Depending on the project, you may build end-to-end functionality for internal customers, evolve production LLM systems, develop quality-evaluation capabilities, improve platform reliability and observability, or lead migrations from legacy localization infrastructure.
Responsibilities
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.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
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.
Preferred qualifications
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.
