Principal Software Engineer, Anti-Abuse

Highlights

• Lead technical strategy for abuse prevention across Snowflake ecosystem.
• Build real-time detection to stop mining, fraud and compute hijacking.
• Embed guardrails into Snowpark, Data Sharing and Cortex AI surfaces.

Ideal candidate

Low-ego, AI-native builder energized by adversarial challenges and protecting large-scale platforms at the intersection of security and distributed systems.

Requirements

• 12+ years of software engineering experience in distributed systems, cloud platform infrastructure, or security engineering with focus on anti-abuse, fraud detection, platform trust, or threat mitigation
• Proven track record architecting mission-critical, large-scale distributed services in Java, C++, or Python
• Deep experience designing controls for code-execution runtimes, multi-tenant compute environments, cloud APIs, or data platforms
• Demonstrated ability to build streaming event processing, anomaly detection, behavioral heuristic engines, or graph-based syndicate detection at enterprise scale
• Strong intuition for attacker economics with experience modeling threat vectors across account lifecycles
• Exceptional ability to partner with product, infrastructure, and security researchers to embed safety controls into product roadmaps
• B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, Cybersecurity, or equivalent practical experience