Software Engineer, Distributed Systems - Trust & Safety

📋 Description Own detection and prevention for fraud, abuse, spam, and malicious content Design scalable trust infra: rate limiting, content scanning, anomaly detection Architect distributed systems, APIs, and high-volume event pipelines Evolve core data model and storage for trust and safety Build tools for internal teams to investigate suspicious activity Leverage AI/LLM-based detection to stay ahead of AI abuse 🎯 Requirements 5+ years backend experience building scalable, high-traffic systems Strong systems thinking and experience building web APIs Proficiency in Node.js or Python and databases (PostgreSQL, Redis) Experience with event streaming systems (Redis, Kafka) and high-volume pipelines Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention Track record shipping high-quality, complex apps under tight timelines