About The Position

Stripe is a financial infrastructure platform used by companies around the world. Radar helps businesses prevent payment fraud and abuse while enabling legitimate customers to transact with confidence. It combines machine learning and AI with intelligence from Stripe’s global network. As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. The work spans backend services, enterprise APIs, and user experiences. You’ll own problems from investigation through launch, partnering with product managers, designers, and data scientists. You may scale systems making real-time decisions across Stripe’s global payments network, bring advances in ML and AI into production, and build new products. Improvements can directly affect the revenue users retain and the legitimate customers they serve.

Requirements

  • At least 2 years of industry software engineering experience.
  • Strong coding skills in any programming language and 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.

Nice To Haves

  • 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.

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 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.
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