Remitly
Senior Software Engineer, Globalization
Seattle, Washington United States · Senior
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About the role
- Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward.
- We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation.
- If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.
Responsibilities
- Remitly's Global Experience Platform team makes our products globally ready by design.
- We build the internationalization (i18n) infrastructure, translation pipelines, and AI-powered tooling that let every customer experience Remitly as locally made, whatever their language, script, or locale.
- You'll help Remitly launch new countries and languages faster and raise the quality of localized experiences in the markets we already serve, working as an equal partner with our Localization team.
- Own complex, team-level projects end to end: clarify requirements, break work into parallel tasks, and guide teammates to on-time delivery.
- Drive the build-or-buy recommendation for an AI-powered translation orchestration and governance layer, and set quality standards that hold as AI scales content.
- Partner with Localization, Product, Design, Legal, Marketing, and engineering teams to build i18n in early and adopt shared standards.
- Mentor engineers through code and design reviews, interviews, and onboarding.
- Build AI/LLM-powered translation tooling: evaluate models, design quality guardrails, and integrate them into production localization pipelines.
- Build and operate translation pipelines and i18n tooling integrated with our TMS and CI/CD, including text extraction, locale-specific rendering, and pseudo-locale testing.
Requirements
- Working knowledge of Unicode, ICU/CLDR, locale-aware formatting, and resource file formats.
Nice to have
- Experience with localizability audits and pseudo-locale validation.
- Hands-on TMS experience (Lokalise, Phrase, Smartling, Transifex) and XLIFF.
- Fintech, remittance, or other regulated-industry experience.
- Compensation Details.
- Our Connected Work Culture: Driving Innovation, Together
- Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.
Compensation
- The starting base salary range for this position is typically $180,000-$$225,000.
- In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan.
- Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.
Benefits
- Flexible paid time off
- Health, dental, and vision + 401k plan with company matching
- Paid parental, medical, military and family care leave
- Mental Health & Family Forming Benefits
- Employee Stock Purchase Plan (ESPP)
- Continuing education
Company info
- Your work will reach millions of customers across 18+ languages and 175+ countries, many of them immigrants supporting family back home.
- At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them.
- Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind.
- At Remitly, we believe that true innovation sparks when we come together.
- At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.
Equal opportunity
- equal opportunity employer.
This listing is sourced directly from Remitly's careers page and normalized into a canonical job model.