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
API @ 4
Data Science @ 4
FinTech @ 4
Java @ 4
Machine Learning
Payments @ 4
Ruby @ 4
Software Development @ 8
TypeScript @ 4
- 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
Stripe is a financial infrastructure platform for businesses. Radar helps businesses prevent payments fraud and abuse while enabling legitimate customers to transact with confidence. The team combines machine learning and AI with Stripe’s global network to build fraud prevention products and infrastructure.
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 platforms 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.
- Collaborate with product managers, designers, and data scientists.
- Scale systems that make real-time decisions across Stripe’s global payments network.
Requirements
- 10+ years of backend and/or full-stack software development experience, with a track record of owning large, ambiguous systems end to end.
- Strong coding skills in any programming language and experience building and maintaining production software.
- Demonstrated technical experience leading the design and delivery of large, complex software projects from early definition through production launch.
- Experience leading and unblocking a group of engineers on a substantial project as a senior individual contributor.
- Significant hands-on coding as a senior individual contributor leader within the last year.
- Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs.
- Ability to operate effectively in high-ambiguity environments by framing problems, making durable technical decisions, and creating an actionable path forward.
- Excellent cross-functional and cross-organizational collaboration skills.
- Understanding of basic data science concepts, including linear models, precision, and recall.
- Experience building consumer products at scale, particularly products requiring a high degree of user trust.
- Experience working closely with fast-moving customers, including leading upsell calls.
Preferred Qualifications
- Track record of working closely with data science and ML teams to ship products to users.
- Experience working on 0-to-1 products or taking new capabilities from concept through launch and iteration.
- Experience with Java, Ruby, and/or TypeScript.
- Experience building payments, money-movement, fintech, or other regulated financial products.
- Familiarity with stablecoins, digital assets, or infrastructure enabling global financial products.
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