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Added 12 mins ago
G
Engineer / EIT - Apply For Future Opportunities
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- Full-time
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Added 27 mins ago
MR
Cybersecurity Engineer (IT Security)
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Canada
- £130,000 to £180,000 GBP / year
…staff and fellows use every day. The second is research and infrastructure security - the machine-operational attack surface of our compute cluster, CI/CD pipelines, and model artefacts.…
Added 27 mins ago
MR
Cybersecurity Engineer (Research Infrastructure)
MATS Research
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- £155,000 to £220,000 GBP / year
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Added 1 hour ago
PC
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Added 2 hours ago
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Added 3 hours ago
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Senior DevOps and Cloud Engineer
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Toronto, ON
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Added 3 hours ago
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IT Systems Engineer
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Toronto, ON
- $175,000 to $225,000 USD / year
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Stripe

Backend / API Engineer, Radar

Toronto, ON, Canada

The annual salary range for this role in the primary location is CA$135,200 - CA$202,800. · Full-time

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Job details

Pay: The annual salary range for this role in the primary location is CA$135,200 - CA$202,800.
Job type: Full-time
Apply by: Nov 19, 2026
Experience: 2+ years of industry software engineering experience
Posting language: English
Posted: Oct 20, 2026

Original job description

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

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. This expectation may vary depending on role, team and location. 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.

Pay and benefits

The annual salary range for this role in the primary location is CA$135,200 - CA$202,800. This range may change if you are hired in another location. 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. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants interested in this role and who are not located in the primary location may request the annual salary range for their location during the interview process.

Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out - and set you apart - especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Apply now

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More about this job

Responsibilities

Build and operate reliable, low-latency services, APIs, dashboards, and shared infrastructure that help businesses detect and prevent fraud and abuse. Partner with users, product teams, and ML specialists to launch and improve capabilities, owning projects from technical design through rollout and measurement.

Requirements

Applicants need at least two years of industry software engineering experience, strong coding skills, and experience building and maintaining production software. They should be able to solve problems rigorously, learn unfamiliar systems, collaborate effectively, and take ownership; experience with distributed systems, APIs, ML/AI, fraud or security, and customer-facing product launches is preferred.

Skills

Software Engineering
Backend Services
API Development
Distributed Systems
Real-Time Services
Fraud Prevention
Abuse Prevention
Machine Learning
Artificial Intelligence
Production Software
Data-Driven Problem Solving
Reliability Engineering
Low-Latency Systems
Technical Design
Cross-Functional Collaboration
Customer-Focused Product Development

Benefits

Equity
Company Bonus
Retirement Plans
Health Benefits
Wellness Stipends

Visa sponsorship

Not detected in the job text

Keywords

Stripe
Radar
Software Engineering
Backend Services
Enterprise APIs
Dashboard Experiences
Distributed Systems
Real-Time Services
Fraud Detection
Fraud Prevention
Abuse Prevention
Risk
Security
Machine Learning
Artificial Intelligence
Data Science
Low-Latency Infrastructure
Production Software
Reliability
Technical Design
API Development
Customer Research
Product Launch
Data-Driven Evaluation
Payments
Global Payments Network

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