Backend / API Engineer, Radar

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