Harden login/registration flows with rate limiting and risk signals.
Collaborate with Security and Engineering to identify and remediate abuse.
Build internal tooling to centralize risk signals and automate enforcement.
Create production-ready abuse detection logic translating patterns into signals, metrics, and controls.

🎯 Requirements

BA/BS degree or equivalent experience.
5–8 years software engineering; 2–3 in trust/safety or fraud prevention.
Proficiency in Python, Go, or Node.js.
Experience building internal tooling at scale.
Experience with cloud platforms (AWS, Cloudflare).
Familiarity with data pipelines and SQL/BigQuery.

🎁 Benefits

Equity (RSUs) for permanent employees.
Health coverage for employees and dependents.
12 weeks parental leave; additional leave for birthing parents.
Flexible vacation, paid holidays, and a sabbatical program.
401(k) with employer match (US) and retirement support globally.
Monthly stipends for work and wellness expenses.

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