StripeBackend / API Engineer, Radar
Stripe is hiring a Backend / API Engineer, Radar in Toronto, Canada. Level rates it ; you can apply on Stripe.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include API, Backend Services and backend engineering.
- Level classifies it as a mid-level role.
- Level lists 720 other open roles at Stripe.
- The role was posted within the past week.
AI in this role
Stripe is seeking a Backend/API Engineer for Radar to build and scale machine learning-driven fraud prevention products and enterprise APIs.
Who we are
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.
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.
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 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.
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 the shared platform and infrastructure that enable teams to build and launch new Radar capabilities
- Work directly with users to understand emerging threats and turn those 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, 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
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 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
- Strong collaboration and communication skills, with the ability to work across disciplines and contribute to your peers’ success
- An ownership mindset and comfort navigating ambiguity, taking initiative, and following through on user problems
Preferred qualifications
- 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
How we rate this
Backend / API Engineer, Radar at Stripe rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where machine learning integration was part of your work. What did you do?
- Tell me about a project where api design was part of your work. What did you do?
- Walk me through how you've used API in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Backend Engineering, Fraud Detection, Machine Learning Integration, API Design, and API. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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