Description
Job Description
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.
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.
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.
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
- 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