Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Communication @ 6
Distributed Systems @ 3
Fraud @ 3
Machine Learning
Payments
Security @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. Stripe’s mission is to increase the GDP of the internet.
About the Team
Radar helps businesses prevent payments fraud and abuse while enabling legitimate customers to transact with confidence. The team combines machine learning and AI with the intelligence of Stripe’s global network to make sophisticated fraud prevention accessible to businesses of all sizes.
The work spans payments fraud detection, protection against abuse beyond payments, enterprise APIs that bring Radar’s capabilities into businesses’ systems and payment flows, and the platform that powers it all. The team builds reliable, low-latency infrastructure and intuitive tools that help users understand threats and control how they respond.
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.
Requirements
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 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.
About the Role
As a software engineer on Radar, you will build products and infrastructure that help businesses understand and stop fraud and abuse. The work spans backend services, enterprise APIs, and user experiences that put sophisticated prevention capabilities into customers’ hands.
You will own problems from investigation through launch, partnering with product managers, designers, and data scientists. The role includes 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.