Backend / API Engineer, Radar

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

Working remotely at Stripe

A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live.

Pay and benefits

The annual US base salary range for this role is $156,800 - $235,200. 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 location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision 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

Please find our California applicant personal information notice here.

The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.