Adversarial Fraud Testing Engineer

Adobe; New York (NY); On-site; USD 139,000 - 258,000; Full time

Job summary

Adobe is seeking an experienced adversarial tester to identify how fraudsters exploit Adobe’s APIs, products, and customer journeys. You will design automated tests and scripts using Python to simulate fraud at scale, map attack paths, and identify control gaps.

You will work across Fraud Prevention, Product, Engineering, and Security to translate findings into stronger defenses and retests. A strong background in automation, SQL, and API security is essential.

Qualifications

• Bachelor's or Master’s degree in Computer Science or a related field with 8+ years hands-on industry experience.
• Strong software engineering or automation skills, with Python proficiency.
• Experience with REST APIs, HTTP, authentication, web apps, automation frameworks, and cloud systems.
• Experience building scripts/tools to test complex systems and behaviors.
• Must have Python, APIs/HTTP, automation, debugging, Git, data/SQL, understanding product architecture.

Responsibilities

• Conduct adversarial testing of Adobe’s products, APIs, and fraud controls to identify exploitable weaknesses.
• Recreate real-world fraud attacks to map attack paths and uncover control gaps.
• Design and build automated tests/tools to simulate fraud at scale using Python or similar.
• Develop test scenarios across account creation, payments, entitlements, APIs, and user journeys.
• Collaborate with Fraud Prevention, Product, Engineering, and Security to communicate findings and mitigations.
• Retest mitigations to ensure identified paths are addressed and document alternative methods.

Skills

Python

SQL

Adversarial testing

Debugging

REST APIs

Education

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

Tools

Git

CI/CD

Browser automation

Cloud services

Security testing tools

Job description

Adobe is seeking an experienced adversarial tester to identify how fraudsters exploit Adobe’s APIs, products, and customer journeys. You will design automated tests and scripts using Python to simulate fraud at scale, map attack paths, and identify control gaps.

You will work across Fraud Prevention, Product, Engineering, and Security to translate findings into stronger defenses and retests. A strong background in automation, SQL, and API security is essential.