Anti-Abuse Security Engineer
Role summary
Snowflake is seeking an Anti-Abuse Security Engineer to join their Product Security team. This remote, 7-month contract role focuses on protecting the Snowflake platform and its customers from abuse, misuse, and fraud. The engineer will design, build, and operate systems, developing prevention controls, detections, and automation at the intersection of security engineering, data analytics, and machine learning. Responsibilities include understanding abuse risks, designing controls for new features like LLMs and data sharing, researching new protective services, and assessing engineering designs for abuse vulnerabilities. The ideal candidate has 4+ years of experience in anti-abuse, AppSec, threat modeling, or secure architecture, with proficiency in Python/SQL and knowledge of cloud security and common abuse patterns.
Anti-Abuse Security Engineer
Start: 2 weeks from date of offer
Location: Remote
Length of Contract: 7 months
Hourly Pay: 90-110 p/hr on W2
Anti-Abuse Security Engineer, Product Security
Build the future of data. Join the Snowflake team. The Anti-abuse team at Snowflake is
responsible for protecting Snowflake and our customers from abuse on the Snowflake
platform. You will have the opportunity to help set the direction of the anti-abuse roadmap
and Product Security while working closely with other teams at Snowflake.
As an Anti-Abuse Security Engineer, you will design, build, and operate systems that protect
our platform, customers, and data from abuse, misuse, and fraud. You’ll work at the
intersection of security engineering, data analytics, and machine learning, developing
prevention controls, detections, and automation that mitigate abuse activity across our
ecosystem. We’re at the forefront of the data revolution, committed to building the world’s
greatest data and applications platform. Our ‘get it done’ culture allows everyone at
Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting
impact, and excel in a culture of collaboration.
AS AN ANTI-ABUSE SECURITY ENGINEER AT
SNOWFLAKE, YOU WILL:
● Understand the abuse risks faced by Snowflake and our customers.
● Design and deploy the anti-abuse controls for Snowflake features, including
compromised account detections, data exfiltration detections, LLMs, the newest,
highest risk, features such as Snowflake Intelligence, data sharing, and future
engineering challenges as Snowflake grows.
● Work directly with senior engineers and management to illustrate abuse risks,
threats, exploits, to guide business decisions.
● Research, plan, and build anti-abuse architectures for Snowflake products and
features
● Provide designs and reference implementations for new anti-abuse features
● Research new services, controls, or features that can help protect the product
and our customers from abuse.
OUR IDEAL ANTI-ABUSE SECURITY ENGINEER WILL HAVE:
● Bachelor's degree in Computer Science or related technical field or equivalent
practical experience.
● 4+ years of experience with anti-abuse AppSec, threat modeling, and/or secure
architecture.
● Understanding of common abuse patterns (e.g., ATO, scraping, spam, fraud, privilege
misuse).
● Proficiency in Python, SQL, or a similar language for building detections and data
pipelines.
● In-depth knowledge of anti-abuse solutions, cloud, application security, network
security, and/or infrastructure security, LLMs.
● Applied knowledge of securing AWS, Azure, and other public cloud providers
● Experience performing source code reviews across various languages (e.g.
Java, Go)
● Working knowledge of malware detection and best practices
● Ability to assess engineering designs and architecture diagrams for abuse risks
● Ability to assess abuse risks within an application or feature
● Experience communicating abuse risks and roadmaps to senior leadership
● Experience designing and implementing anti-abuse solutions
● Experience contributing to the security anti-abuse community such as presenting at
conferences or meetups.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
● Master's degree or PhD in Computer Science or related technical field.
● Skilled in writing, debugging, and optimizing SQL queries to support data-driven
decisions and operations.
● Experience with cloud environments (AWS, GCP, Azure) and their security/abuse
detection tooling.
● Familiarity with ML-based detection systems, feature engineering, or anomaly
detection methods.
