Stripe
Backend / API Engineer, Radar
Toronto · Mid
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About the role
- 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.
Responsibilities
- As a software engineer on Radar, you'll build products and infrastructure that help businesses understand and stop fraud and abuse.
- 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, and build new products from scratch.
- 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 the shared platform and infrastructure that enable teams to build and launch new Radar capabilities
- Partner with ML engineers and data scientists to bring new signals, models, and AI capabilities into production
- Own projects end to end, from technical design and implementation through rollout, measurement, and iteration
- Strong coding skills in any programming language, with experience building and maintaining production software
Requirements
- 2+ years of industry software engineering experience
- Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs
- Strong collaboration and communication skills, with the ability to work across disciplines and contribute to your peers' success
- That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
- We're looking for someone who meets the minimum requirements to be considered for the role.
Nice to have
- Experience bringing ML or AI capabilities into production software
- Experience working on fraud prevention, abuse prevention, risk, or security
Benefits
- The preferred qualifications are a bonus, not a requirement.
Company info
- About Stripe
- 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, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
- 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.
- 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, and we have a staggering amount of work ahead.
- Our work spans payments fraud detection, protection against abuse beyond the payment, enterprise APIs that bring Radar's capabilities into businesses' own systems and payment flows, and the platform that powers it all.
- We build everything from reliable, low-latency infrastructure to intuitive tools that help users understand threats and control how they respond.
- Fraud evolves constantly, and so do we.
- We work directly with users to understand emerging attacks, turn advances in ML and AI into effective defenses, and build products that protect and grow their revenue.
This listing is sourced directly from Stripe's careers page and normalized into a canonical job model.