Senior Backend Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Backend Engineer (Node.js/PostgreSQL): Building and optimizing fintech and SaaS platforms for the healthcare sector in the US market with an accent on scalable API design and financial infrastructure. Focus on integrating banking and payment APIs, architecting core platform services, and ensuring system reliability for international markets.
Location: On-site in Taipei City, Taiwan. Candidates should already be based in Taipei.
Company
Fast-growing international technology company transforming operational and financial workflows in the US healthcare sector through scalable software and intelligent automation.
What you will do
- Design, build, and maintain scalable backend APIs and platform services using Node.js, Express.js, and PostgreSQL.
- Integrate banking, payment, and financial APIs to support core platform capabilities.
- Collaborate with cross-functional product and engineering teams to develop new fintech and SaaS features.
- Contribute to high-level system architecture and technical design decisions.
- Ensure backend reliability, performance, and scalability for international markets.
- Work closely with overseas stakeholders and distributed engineering teams, specifically in the United States.
Requirements
- 3-5+ years of professional software engineering experience.
- Deep expertise with Node.js, Express.js, and PostgreSQL.
- Strong understanding of API design and backend system integration for fintech applications.
- Fluent English communication skills are essential for collaborating with international teams.
- Must be based in Taipei.
- Ability to work flexible hours to overlap with US-based teams.
Culture & Benefits
- Opportunity to work within a fast-moving startup environment with entrepreneurial leadership.
- Experience building products for the competitive US healthcare market.
- Collaborative culture with global investors and experienced founders.
- Exposure to high-impact technical challenges in scalability and automation.
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