Fraud-Resilience Engineer (Adversarial Testing)

Adobe; San Jose (CA); On-site; USD 181,000 - 261,000; Full time

Job summary

Adobe is seeking a security-focused engineer to perform adversarial testing on externally facing products, APIs, and fraud controls. You will simulate real-world attacks, build automated testing tools in Python, and craft scenarios across identity, payments, and API interactions to strengthen defenses.

Applicants should have strong programming skills, experience with REST APIs and cloud services, and a deep curiosity about how bad actors exploit products.

Qualifications

• Strong software engineering or technical automation skills with Python or a similar language.
• Experience working with REST APIs, HTTP, authentication, web apps, automation frameworks, and modern cloud systems.
• Experience building scripts or automated workflows to test complex systems and behaviors.
• Must have: Python, APIs/HTTP, automation, debugging, Git, data/SQL, and ability to interpret product architecture.

Responsibilities

• Conduct adversarial testing of Adobe’s products, services, APIs, and fraud controls to identify exploitable weaknesses.
• Recreate real-world fraud and abuse attacks to map attack paths and defense gaps.
• Design and build automated testing tools using Python to simulate fraud at scale.
• Develop test scenarios across account creation, identity, payments, entitlements, APIs, and user journeys.
• Test and improve fraud prevention measures and retest mitigations to close attack paths.

Skills

Python

APIs/HTTP

Git

SQL

Automation

Tools

REST APIs

Data Analysis

Job description

Adobe is seeking a security-focused engineer to perform adversarial testing on externally facing products, APIs, and fraud controls. You will simulate real-world attacks, build automated testing tools in Python, and craft scenarios across identity, payments, and API interactions to strengthen defenses.

Applicants should have strong programming skills, experience with REST APIs and cloud services, and a deep curiosity about how bad actors exploit products.