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
