Principal Software Engineer, Anti-Abuse

Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform, serving as the chief architect for platform-wide anti-abuse strategy

Partner directly with product and engineering teams building Snowflake's newest and highest-risk surfaces (Snowpark user code execution runtimes, Data Sharing and Marketplace, AI/LLM services) to design and deploy robust anti-abuse controls from day one

Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines capable of analyzing millions of queries, sessions, and data transactions across multi-cloud environments (AWS, Azure, GCP)

Continuously model emerging abuse techniques, including trial compute abuse, cryptocurrency mining, bot-driven account creation, credential stuffing, and illicit network traffic routing

Design intelligent mitigation systems that automatically throttle, challenge, or isolate abusive workloads and malicious actors with near-zero false-positive impact on legitimate enterprise workloads

Raise the technical bar across the engineering organization through mentorship of staff and senior engineers, and influence architectural standards across adjacent platform teams

12+ years of software engineering experience in distributed systems, cloud platform infrastructure, or security engineering, with significant time dedicated to 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 (e.g., mitigating compute hijacking, sandbox escapes, abuse of serverless functions, or network egress abuse)

Demonstrated ability to build streaming event processing, anomaly detection, behavioral heuristic engines, or graph-based syndicate detection systems at enterprise scale

Strong intuition for attacker economics and mechanics, with experience modeling threat vectors across account lifecycles (signup, trial, payment, execution, sharing)

Exceptional ability to partner with product managers, infrastructure teams, and security researchers to embed safety controls into high-velocity product roadmaps

B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, Cybersecurity, or equivalent practical experience

Experience building anti-abuse systems for multi-tenant cloud platforms or SaaS-at-scale environments

Familiarity with AI/LLM abuse vectors (prompt injection, model extraction, automated content generation for fraud)

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 and safety

Experience operating detection and response systems across multiple cloud providers simultaneously

The Anti-Abuse team works at the intersection of platform security, distributed systems, and adversarial thinking. You will own the technical strategy for protecting one of the world's fastest-growing cloud platforms from novel and evolving threats. This is not a compliance checkbox role: you will architect real-time detection systems, embed native guardrails into new product primitives before they reach production, and partner directly with engineering leaders across the organization to anticipate threats no one else is seeing yet. If you want to build the immune system for the agentic enterprise, this is the role.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com