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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Singapore, Singapore | $45k - $90k | |||
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Crypto.com
$45k - $90k estimated
Full Stack Localization Engineer
Singapore, Singapore
Corporate – Product Management /
Full-time /
Hybrid
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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.
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