Staff Software Engineer, Radar
Stripe · San Francisco, Seattle
About this role
**Staff Software Engineer — Radar (Stripe)** **Who we are** Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. **About the team** Radar helps businesses prevent payments fraud and abuse while enabling legitimate customers to transact with confidence. We combine machine learning and AI with the intelligence of Stripe’s global network to make sophisticated fraud prevention accessible to businesses of all sizes. Our work spans: - Payments fraud detection and protection against abuse beyond payments - Enterprise APIs that bring Radar capabilities into customers’ own systems and payment flows - The platform that powers it all (reliable, low-latency infrastructure + intuitive tools) **What you’ll do** As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs, and user experiences that put sophisticated prevention capabilities into customers’ hands. You’ll own problems from investigation through launch, partnering with product managers, designers, and data scientists. You’ll have opportunities to: - Scale systems that make real-time decisions across Stripe’s global payments network - Bring advances in ML and AI into production - Build new products from scratch **Responsibilities** - Build and operate reliable, low-latency services that detect and prevent fraud and abuse at scale - Design APIs and dashboard experiences that help businesses investigate threats, configure defenses, and understand how Radar protects them - Develop shared platform and infrastructure that enable teams to build and launch new Radar capabilities - Work directly with users to understand emerging threats and turn insights into broadly useful products - Partner with ML engineers and data scientists to bring new signals, models, and AI capabilities into production - Own projects end to end (technical design → implementation → rollout → measurement → iteration) - Uphold a high bar for engineering quality, reliability, and product craft while moving quickly as threats evolve **Who you are** We’re looking for someone who meets the minimum requirements. Preferred qualifications are a bonus. **Minimum requirements** - 10+ years of backend and/or full-stack software development experience, with a track record of owning large, ambiguous systems end-to-end - Strong coding skills in any programming language, with experience building and maintaining production software - Demonstrated experience leading the design and delivery of large, complex software projects from early definition through production launch - Experience leading and unblocking a group of engineers on a substantial project as a senior individual contributor - Significant hands-on coding as a senior IC leader in the last year - Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs - Ability to operate effectively in high-ambiguity environments (frame problems, make durable technical decisions, create an actionable path forward) - Excellent cross-functional and cross-organizational collaboration skills - Understanding of basic data science concepts (e.g., linear models, precision
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