135K–203K CAD / year
Backend / API Engineer, Radar
BackendHybrid — Toronto, Canada
Published on 2026-10-20
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build backend services, APIs, and platform infrastructure that help businesses detect and prevent fraud and abuse. The role includes scaling low-latency systems, bringing machine-learning capabilities into production, and developing tools that help customers investigate threats and configure defenses.
About the company
Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.
The team
Stripe Radar, within the Payments team.
What you'll do
- Build and operate reliable, low-latency fraud and abuse prevention services at scale
- Design APIs and dashboard experiences for investigating threats and configuring defenses
- Develop shared platform infrastructure for launching Radar capabilities
- Work with users to turn emerging threats into broadly useful products
- Partner with ML engineers and data scientists to productionize signals, models, and AI capabilities
- Own projects from technical design and implementation through rollout, measurement, and iteration
What we're looking for
- At least 2 years of industry software engineering experience
- Strong coding skills and experience building and maintaining production software
- Ability to learn unfamiliar systems and make thoughtful technical trade-offs
- Use data rigorously to investigate issues and evaluate solutions
- Strong collaboration and communication skills
- Take ownership, show initiative, and follow through amid ambiguity
Nice to have
- Experience with distributed systems or real-time services requiring high reliability and low latency
- Experience building APIs, developer platforms, or interfaces for complex workflows
- Experience bringing ML or AI capabilities into production
- Background in fraud prevention, abuse prevention, risk, or security
- Experience launching products and iterating directly with customers
Benefits
- Equity
- Company bonus
- Retirement plans
- Health benefits
- Wellness stipends