Principal Software Engineer – Anti-Abuse

Snowflake

. Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform .

Posted 10/15/2026full-timeBellevue • Washington • United StatesLead💰 $264,000 - $379,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting large-scale distributed systems with a focus on anti-abuse and fraud detection. Proficient in designing and implementing robust security controls and real-time detection systems across multi-tenant cloud platforms.

Highest-signal resume keywords

Architecting Large-Scale Distributed ServicesAnti-Abuse System DesignCloud Platform InfrastructureStreaming Event ProcessingThreat Vector Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaC++PythonAnomaly DetectionBehavioral Heuristic EnginesGraph-Based Syndicate DetectionZero-Trust ArchitectureDefense-In-Depth ArchitectureTelemetry Pipeline ArchitectureRisk-Scoring Engine Design

Soft Skills

MentoringCollaborationInfluencing Architectural StandardsExceptional Partnering with Product Managers

Tools & Technologies

AWSAzureGCPCloud APIsData PlatformsAI/LLM Services

Certifications & Qualifications

B.S. in Computer ScienceM.S. in Computer EngineeringPh.D. in Cybersecurity

Industry Keywords

Fraud DetectionPlatform TrustThreat MitigationMulti-Tenant Cloud PlatformsSaaS-at-Scale

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformJavaPythonC++

About the role

Key responsibilities & impact

Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform
Serve as chief architect for platform-wide anti-abuse strategy
Partner with product and engineering teams building Snowpark, Data Sharing and Marketplace, and AI/LLM services
Design and deploy robust anti-abuse controls for high-risk product surfaces
Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines
Analyze millions of queries, sessions, and data transactions across AWS, Azure, and GCP
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 to throttle, challenge, or isolate abusive workloads and malicious actors
Mentor staff and senior engineers
Influence architectural standards across adjacent platform teams
Embed safety controls into high-velocity product roadmaps
Architect real-time detection systems and native guardrails for new product primitives

Requirements

What you’ll need

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
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
Exceptional ability to partner with product managers, infrastructure teams, and security researchers
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
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
Must be within commuting distance of, or open to relocation to, the local Snowflake office(s) designated in the post
Must confirm current authorization to work in the country to which applying

Benefits

Comp & perks

Hybrid work arrangement
Salary range of $264K–$379.5K
Snowflake benefits information is available on the Snowflake Careers Site