Staff Software Engineer, AI-First Payments Intelligence

Socket.dev

San Francisco, Seattle (CA, WA)

On-site

USD 250,000 - 320,000

Full time

14 days+

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Job summary

Stripe is seeking a Staff Engineer for the Payment Intelligence team to drive architecture across distributed systems and ML-enabled features. You will collaborate with product, design, and ML teams to shape scalable, high-impact solutions used across Stripe's merchant ecosystem.

You will lead technical strategy, mentor engineers, and champion quality standards while delivering robust, production-grade systems that power fraud, disputes, and analytics across the payments stack.

Qualifications

  • 10+ years in software engineering.
  • 5+ years in a strategic technical leadership role.
  • Experience leading engineering teams on distributed systems, API design, and user-facing products.
  • Proven track record delivering pragmatic solutions that accelerate growth.
  • Effective cross-team communication and collaboration.

Responsibilities

  • Define technical strategy for multiple experiences within the Payment Intelligence portfolio, focusing on quality and performance.
  • Champion a quality-first engineering culture with standards, tooling, and processes for scalable shipping of high-quality code.
  • Partner with Stripe's largest merchants to co-build the future of payment-centric intelligence.
  • Collaborate cross-functionally with product, design, and ML teams to deliver the best software.
  • Work across the stack, contributing to infrastructure, FE, API, and ML-adjacent work.

Skills

Software engineering
Distributed systems
API design
Cross-functional collaboration
Communication

Tools

Java
Ruby
Python
TypeScript
Kafka
Flyte
Airflow
Mongo

Job description

Stripe is seeking a Staff Engineer for the Payment Intelligence team to drive architecture across distributed systems and ML-enabled features. You will collaborate with product, design, and ML teams to shape scalable, high-impact solutions used across Stripe's merchant ecosystem.

You will lead technical strategy, mentor engineers, and champion quality standards while delivering robust, production-grade systems that power fraud, disputes, and analytics across the payments stack.

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