Principal Software Engineer, Anti-Abuse

📋 Description

• Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake
• Partner directly with product and engineering teams building Snowflake's newest and highest-risk
• Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines
• Continuously model emerging abuse techniques, including trial compute abuse, cryptocurrency mining
• Design intelligent mitigation systems that automatically throttle, challenge, or isolate abusive
• Raise the technical bar across the engineering organization through mentorship of staff and senior

🎯 Requirements

• 12+ years of software engineering experience in distributed systems, cloud platform infrastructure
• Proven track record architecting mission-critical, large-scale distributed services in Java, C++
• Deep experience designing controls for code-execution runtimes, multi-tenant compute environments
• Demonstrated ability to build streaming event processing, anomaly detection, behavioral heuristic
• Strong intuition for attacker economics and mechanics, with experience modeling threat vectors
• Exceptional ability to partner with product managers, infrastructure teams, and security

🎁 Benefits

• Experience building anti-abuse systems for multi-tenant cloud platforms or SaaS-at-scale
• Familiarity with AI/LLM abuse vectors (prompt injection, model extraction, automated content
• Track record of designing zero-trust or defense-in-depth architectures for compute runtimes
• Published research or industry contributions in fraud detection, adversarial ML, or platform trust
• Experience operating detection and response systems across multiple cloud providers simultaneously