5 days ago
Base Salary
$264k - $380k/yr
Responsibilities
- Define and drive the long-term technical vision for platform-wide abuse and fraud detection.
- Architect and scale low-latency telemetry pipelines and risk-scoring engines across multi-cloud environments.
- Design proactive anti-abuse controls for Snowpark, Data Sharing, Marketplace, Cortex AI, and other high-risk capabilities.
- Model emerging abuse techniques including compute abuse, cryptocurrency mining, bot-driven account creation, credential stuffing, and illicit network traffic routing.
- Build mitigation systems that throttle, challenge, or isolate abusive workloads and malicious actors.
- Mentor staff and senior engineers and influence architectural standards across platform teams.
- Partner with product managers, infrastructure teams, and security researchers to embed safety controls into product roadmaps.
Requirements
- 12+ years of software engineering experience in distributed systems, cloud platform infrastructure, or security engineering, including significant anti-abuse, fraud detection, platform trust, or threat mitigation experience.
- Proven experience 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.
- Experience building streaming event processing, anomaly detection, behavioral heuristic, or graph-based syndicate detection systems at enterprise scale.
- Experience modeling threat vectors across account lifecycles and understanding attacker economics and mechanics.
- Exceptional cross-functional collaboration skills with product, infrastructure, and security teams.
- Bachelor’s, master’s, or Ph.D. in Computer Science, Computer Engineering, Cybersecurity, or equivalent practical experience.
- Preferred experience with anti-abuse systems for multi-tenant cloud or SaaS platforms, AI/LLM abuse vectors, zero-trust or defense-in-depth architectures, fraud detection or adversarial ML research, and multi-cloud detection and response systems.
Benefits
- Salary and benefits information is provided on the Snowflake Careers Site for jobs located in the United States.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.