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Crypto Pro

Full Stack Localization Engineer

Posted 4 Days Ago
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Hybrid
Singapore
Mid level
Hybrid
Singapore
Mid level
The Full Stack Localization Engineer develops tools for automating content delivery, integrates systems, and enhances localization workflows using AI technologies.
The summary above was generated by AI
Interested in building systems that streamline how global-ready content is created, managed, and delivered at scale? Crypto.com is seeking a Full Stack Localization Engineer to help develop tools that streamlines content delivery and automation for global product teams. This role blends engineering with innovation: you’ll work on cutting-edge translation automation, platform integration, and AI-enhanced tools that power the global expansion of a leading fintech product.

Responsibilities

  • Build Localization Workflows: Design and maintain tools to automate and optimize end-to-end localization pipelines, from content submission to deployment.
  • Integrate Systems: Connect internal systems (e.g., CMS, TMS, code repositories) to our localization platform for seamless content flow.
  • AI/MT Automation: Implement and fine-tune AI-assisted translation solutions (e.g., MT integration, automated LQA, prompt engineering).
  • Collaborate Across Teams: Work closely with Product, Engineering, and Localization stakeholders to continuously evolve platform capabilities.
  • Drive DevOps & Deployment: Contribute to CI/CD pipelines, cloud service setup, and deployment tools for scalable releases.
  • Continuously evaluate and iterate on contextual prompt designs to address evolving localization needs and maintain high standards of linguistic quality

Requirements

  • 3+ years of proven full-stack development experience with a focus on web platforms and workflow automation.
  • Proficiency in:
  • Frontend: JavaScript/TypeScript with React or Vue
  • Backend: Python, Node.js, or Ruby
  • DevOps/Cloud: Firebase, AWS, Docker, GitHub Actions, Kubernetes (a plus)
  • Experience with localization technologies such as TMS, MT engines, LQA automation, or internationalization tools.
  • Familiarity or interest in AI-assisted development and prompt engineering.
  • Strong self-management skills, with the ability to work independently and align with sprint goals.
  • Comfortable working with teams across multiple time zones.

Top Skills

AWS
Docker
Firebase
Github Actions
JavaScript
Kubernetes
Node.js
Python
React
Ruby
Typescript
Vue

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