Staff Engineer: AI-Driven Payments Platform Architect

Zip Co Limited

United States

Remote

USD 190,000 - 220,000

Full time

11 days ago
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Benefits offered by this job

Incentive programs
Unlimited PTO
Parental leave
401(k) match
Learning stipend
Union Square office access

Job summary

Zip Co Limited is seeking a highly experienced Staff Engineer to lead the architecture and evolution of the real-time money movement and payments platform. You’ll own cross-team technical direction, embed AI into engineering workflows, and mentor senior engineers while scaling for millions of transactions.

This remote-first role offers collaboration from the NYC office and focuses on high-availability systems, event-driven architectures, and AI-driven developer productivity across cloud-native

Qualifications

  • 12+ years of experience building distributed backend systems.
  • Strong payments/fintech experience in finance-critical domains.
  • Proven track record of using AI to improve engineering outcomes and adoption at scale.
  • Hands-on leader who can set strategy across teams and drive technical direction.

Responsibilities

  • Lead architecture and evolution of real-time money movement platform.
  • Embed AI into engineering workflows and product capabilities.
  • Mentor senior engineers and raise engineering standards across teams.
  • Partner with product leaders to align technical direction with business goals.

Skills

Distributed systems
Payments/Fintech
AI in engineering
Leadership
Cloud platforms (Azure/AWS)
Back-end development

Tools

Azure
AWS
OpenAI
SageMaker

Job description

Zip Co Limited is seeking a highly experienced Staff Engineer to lead the architecture and evolution of the real-time money movement and payments platform. You’ll own cross-team technical direction, embed AI into engineering workflows, and mentor senior engineers while scaling for millions of transactions.

This remote-first role offers collaboration from the NYC office and focuses on high-availability systems, event-driven architectures, and AI-driven developer productivity across cloud-native

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