Software Engineer, Distributed Systems - Trust & Safety

You will build systems for fraud, abuse, spam, and malicious-content detection; create rate-limiting, content-scanning, anomaly-detection, and event-pipeline infrastructure; develop internal investigation tools and automated workflows; investigate incidents; and balance security with user experience.

Responsibilities

• Own detection and prevention systems for fraud, abuse, spam, and malicious content
• Design and build trust infrastructure for rate limiting, content scanning, anomaly detection, and account security
• Architect distributed systems, APIs, and event pipelines for real-time abuse detection
• Define and evolve data models and storage systems for trust and safety
• Build tools for support teams to investigate suspicious activity
• Use AI and LLM-based detection for phishing, fraud, and malicious content
• Build automated triage and investigation workflows
• Investigate and resolve complex security incidents
• Partner with engineering and product to balance security and user experience
• Shape the trust and safety strategy and technical roadmap

Requirements

• 5+ years of backend engineering experience building scalable high-traffic production systems
• Experience building highly available web APIs
• Proficiency in Node.js, Python, or similar backend technologies
• Database experience with PostgreSQL and Redis
• Experience with Redis, Kafka, or similar event-streaming systems
• Experience implementing rate limiting, content detection, and fraud prevention
• Track record shipping complex applications under tight timelines
• Understanding of technical decisions' impact on user experience and business metrics
• Security and user-protection knowledge

Benefits

• Equity