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7 дней назад

Lead Backend Engineer (Payments & Billing)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US/Mexico/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Backend Engineer (Payments & Billing) (Ruby/AI): Building and operating globally scaled payment and billing systems for subscription products with an accent on financial reliability, PCI security, and agentic engineering. Focus on modernizing legacy systems, integrating payment providers, designing AI guardrails for money movement, and solving complex scaling, observability, and incident-response challenges.

Location: Hybrid; primary residence required in or near an approved city in the United States, Canada, or Mexico. Occasional in-person attendance is required. Approved locations include Atlanta, Austin, Boston, Chicago, Dallas, Denver, Houston, Jacksonville, Los Angeles, Miami, New York City, Phoenix, Portland, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, Washington D.C., Ottawa, Toronto, Vancouver, and Mexico City.

Company

hirify.global, Inc. operates hirify.global, Slideshare, Everand, and Fable, providing subscription products that help people access knowledge and expertise.

What you will do

  • Lead the architecture, implementation, and operation of backend payment and billing systems supporting subscription revenue at global scale.
  • Own billing lifecycles, payment processing, invoicing, reconciliation, financial reliability, international currencies, and local payment methods across hirify.global products.
  • Integrate with payment providers including Stripe, Adyen, Braintree, and PayPal while ensuring PCI DSS compliance, tokenization, encryption, and secure data handling.
  • Lead agentic engineering across design, implementation, testing, debugging, incident response, and operations; build reusable agent skills and MCP integrations for alert triage, investigations, and anomaly detection.
  • Modernize legacy systems, reduce technical debt, improve scalability and observability, and lead migrations and refactors with appropriate AI-assisted workflows.
  • Set technical direction, mentor engineers, establish review and verification practices, and collaborate with Product, Finance, Risk, Platform, and Analytics.

Requirements

  • 8+ years of backend engineering experience, including deep expertise building and scaling distributed systems for financial or mission-critical workloads.
  • Strong foundations in data modeling, transactional consistency, high-throughput architectures, SQL with MySQL or PostgreSQL, and familiarity with NoSQL and caching.
  • Experience defining SLOs, implementing metrics and alerts, debugging distributed systems, and leading incident response.
  • Strong coding ability in at least one modern backend language such as Ruby, Java, Go, or Python; clean, maintainable, and secure code is expected.
  • Hands-on production experience with agentic engineering tools and workflows, including daily use of AI agents and the ability to assess their appropriate use and limitations.
  • Ability to rigorously validate AI-generated code, protect sensitive data, and take ownership of every shipped line of code.
  • Proven technical leadership in architectural direction, engineering mentorship, large-scale migrations, or modernization efforts.
  • Experience establishing patterns, tooling, or review practices adopted by other engineers, including for AI-assisted development.
  • Clear communication and cross-functional collaboration with Product, Finance, Risk, Platform, and other teams; participation in mentoring, architecture reviews, or knowledge sharing.

Nice to have

  • Strong coding ability in Ruby and deep experience designing and operating payment or billing systems.
  • Experience integrating Stripe, Adyen, Braintree, or PayPal and managing multi-currency or local payment methods.
  • Knowledge of PCI DSS, encryption, tokenization, fraud prevention, chargebacks, retries, card fingerprinting, and abuse detection.
  • Experience leading large-scale migrations between payment providers or billing systems with minimal customer impact.
  • Experience building agent skills, MCP integrations, or AI-assisted on-call and incident workflows adopted by other engineers.
  • Experience designing human-in-the-loop or AI code-review and merge controls in regulated or PCI-scoped environments.
  • Understanding of AI security risks including prompt injection, secrets or PII leakage, and over-permissioned agent credentials.

Culture & Benefits

  • hirify.global Flex balances flexible workstyles with intentional in-person collaboration; occasional office attendance is required.
  • Health, dental, vision, mental health, disability, paid parental leave, and family support benefits are provided.
  • Paid time off includes vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
  • Retirement matching, employee equity, learning and development programs, wellness and home office stipends are available.
  • Employees receive access to hirify.global products and leading AI tools.

Hiring process

  • Interview accommodations can be requested at any stage of the process.

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