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Software Engineer (Payments)

255 000 - 440 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer (Payments): Design and build core payment infrastructure and financial systems to support hirify.global's products and global payment flows with an accent on scalability, reliability, and compliance. Focus on architecting robust payment systems, collaborating cross-functionally, and ensuring seamless user checkout experiences worldwide.

Location: San Francisco, CA, hybrid with 3 days in office per week, relocation assistance available

Salary: $255,000 – $440,000 + equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing AI capabilities and safely deploying AI products.

What you will do

  • Architect, implement, and scale core payment infrastructure and financial primitives.
  • Collaborate with Finance, Legal, Product, and external vendors to translate business needs into scalable technical solutions.
  • Ensure high ownership and compliance in the regulated payments domain.
  • Create seamless global checkout user experiences.
  • Improve reliability, observability, and auditability of money movement systems.

Requirements

  • Location: Must be based in or relocate to San Francisco, CA
  • 5+ years professional software engineering experience, preferably in payments or financial systems at scale.
  • Familiarity with payment processors like Stripe, Adyen, or Braintree, or experience building internal financial systems.
  • Strong product mindset and ability to design for long-term flexibility.
  • Excellent communication skills and ability to build consensus among diverse stakeholders.

Culture & Benefits

  • Hybrid work model with 3 days in office per week.
  • Relocation assistance for new employees.
  • Commitment to diversity, equity, and inclusion.
  • Focus on safety and ethical AI development.

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