Adversarial Fraud Engineer: Strengthen Defenses at Scale

Adobe Inc.; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Adobe in San Jose is seeking an experienced adversarial security tester to design and execute tests that simulate fraud and abuse against Adobe's products, APIs, and customer journeys.

You'll build automated tests in Python, analyze results with SQL/logs, collaborate with product, engineering and security teams, and help strengthen defenses while staying within safe authorization boundaries.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, plus 8+ years of hands-on industry experience.
• Strong software engineering or technical automation skills with Python or similar scripting languages.
• Experience with REST APIs, HTTP, authentication, web applications, automation frameworks, and modern cloud-based systems.
• Experience building scripts, tools, or automated workflows to test complex systems and behaviors.
• Must have: Python/similar programming, APIs/HTTP, automation, debugging, Git, data/SQL, ability to understand product architecture.
• Useful: JavaScript, cloud services, browser automation, authentication/identity systems, CI/CD, security testing tools.
• Strong understanding of fraud, abuse, cybersecurity, adversarial testing, or digital risk.
• Strong analytical skills and experience using SQL, logs, telemetry, or other data sources to understand system behavior.

Responsibilities

• Conduct adversarial testing of Adobe's externally facing products, services, APIs, and fraud controls to identify exploitation by fraudsters and bad actors.
• Recreate real-world fraud and abuse attacks to understand attack paths, identify control gaps, and determine how defenses can be circumvented.
• Design and build automated testing tools and scripts using APIs, Python or similar languages to simulate fraud and abuse scenarios at scale.
• Develop creative test scenarios across account creation, identity, payments, entitlements, APIs, and other customer and product experiences.
• Partner with Fraud Prevention, Product, Engineering, Security, and other teams to understand threats, communicate findings, and recommend mitigations.
• Test new and existing fraud controls to determine their effectiveness and identify opportunities to strengthen detection and prevention.
• Retest mitigations to validate that identified attack paths have been effectively addressed and identify potential alternative methods of circumvention.
• Document attack methodologies, findings, and recommendations and help build repeatable adversarial testing capabilities.
• Stay current on emerging fraud, abuse, automation, and AI-enabled attack techniques and apply those learnings to Adobe's products and defenses.

Skills

Python programming

APIs/HTTP

Automation

Debugging

Git

SQL

Data analysis

Adversarial testing

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

REST APIs

HTTP

Git

CI/CD

Cloud services

Job description

Adobe in San Jose is seeking an experienced adversarial security tester to design and execute tests that simulate fraud and abuse against Adobe's products, APIs, and customer journeys.

You'll build automated tests in Python, analyze results with SQL/logs, collaborate with product, engineering and security teams, and help strengthen defenses while staying within safe authorization boundaries.