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. 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 current business opportunities. 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, 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. 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 our 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, and build new products from scratch. Every improvement can have a direct impact on the revenue our users retain and the legitimate customers they serve. 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 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 Uphold a high bar for engineering quality, reliability, and product craft while moving quickly as threats evolve If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 2+ years of industry software engineering experience Strong coding skills in any programming language, with experience building and maintaining production software Ability to work across systems and technologies,



learn unfamiliar codebases, and make thoughtful technical trade-offs A rigorous approach to problem solving, including using data to investigate issues and evaluate whether a solution works Experience building distributed systems or real-time services with demanding reliability and latency requirements Experience building APIs, developer platforms, or intuitive user interfaces for complex workflows Experience bringing ML or AI capabilities into production software Experience working on fraud prevention, abuse prevention, risk, or security Experience taking a product from an early idea to launch and iterating directly with customers In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans;

📌 Backend engineer (Canada)
🏢 Stripe
📍 Canada