Adversarial Fraud Engineer

Adobe

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Jose, CANew York, NYAustin, TX
Salary
$139,000–$257,550 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $192k
This role $198k
$125k most similar roles pay here $272k

This role pays more than 54% of similar roles. Most pay $152,412–$231,100 — the shaded band above. At the midpoint, this role pays about $198k versus about $192k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 196 open roles on FindRole.

Listed pay typically runs $148,900–$270,950 across 196 roles with salary data.

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At a glance

TL;DR · Adversarial Fraud Engineer

As an Adversarial Fraud Engineer — Global Consumer Trust, you will join the team to design and execute adversarial testing aimed at identifying how bad actors might exploit externally facing products, APIs, customer journeys, and fraud controls. You will recreate real-world attacks to identify control gaps, build automated testing tools and scripts using Python or similar languages, and develop creative test scenarios across account creation, identity, payments, and entitlements. The role requires proficiency in REST APIs, HTTP, Git, SQL, and data analysis to evaluate system behavior through logs and telemetry. You will collaborate with Fraud Prevention, Product, Engineering, and Security teams to translate findings into stronger defenses. Essential skills include software engineering, automation, and an adversarial mindset to address fraud, abuse, and digital risk while ensuring all testing is conducted safely within established boundaries.

What you'll do

  • Conduct adversarial testing on products, APIs, and fraud controls to identify vulnerabilities exploited by bad actors.
  • Recreate real-world fraud attacks to map out attack paths and identify gaps in existing defenses.
  • Build automated testing tools and scripts using Python or similar languages to simulate fraud scenarios at scale.
  • Develop creative test cases across account creation, identity, payments, and other customer journey touchpoints.
  • Test the effectiveness of new and existing fraud controls and retest mitigations to ensure they are robust.
  • Document attack methodologies, findings, and recommendations to build repeatable adversarial testing capabilities.
  • Monitor emerging fraud trends and AI-enabled attack techniques to update internal defense strategies.

What we're looking for

  • Bachelor's or Master's degree in Computer Science or a related field.
  • 8+ years of hands-on industry experience.
  • Proficiency in Python or a similar scripting/programming language.
  • Experience with REST APIs, HTTP, authentication, web applications, and modern cloud-based systems.
  • Experience building scripts, tools, or automated workflows to test complex systems and behaviors.
  • Proficiency in Git, SQL, and debugging.
  • Strong understanding of fraud, abuse, cybersecurity, adversarial testing, or digital risk.
  • Knowledge of JavaScript, cloud services, browser automation, CI/CD, and security testing tools (preferred).

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