Related skills
node.js postgresql redis python typescript📋 Description
- Own detection and prevention systems for fraud, abuse, spam, and malicious content.
- Design scalable trust infra including rate limiting, content scanning, anomaly detection.
- Architect distributed systems, APIs, and event pipelines for real-time abuse detection.
- Define and evolve core data model and storage for trust and safety.
- Build tools to empower internal teams to investigate and act on suspicious activity.
- Leverage AI/LLM-based detection to stay ahead of AI-generated abuse.
🎯 Requirements
- 5+ years of backend engineering experience building scalable, high-traffic systems.
- Strong systems thinking and experience building highly available web APIs.
- Proficiency in backend tech (Node.js, Python) and databases (PostgreSQL, Redis).
- Experience with event streaming (Redis, Kafka) and high-volume pipelines.
- Hands-on experience implementing trust features like rate limiting and fraud prevention.
- Track record shipping high-quality apps under tight timelines.
🎁 Benefits
- Equity and comprehensive benefits package.
- Hybrid work setup with in-office SF presence and remote flexibility.
- Collaborative, cross-functional team environment.
- Opportunity to shape Gamma's long-term trust & safety strategy.
- Work on AI/LLM-based detection at scale.
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