Adversarial Fraud Engineer — Global Consumer Trust

Adobe; San Jose (CA); On-site; USD 155,000 - 258,000; Full time

Job summary

Adobe is seeking a senior adversarial testing professional to design, execute, and automate tests against externally facing products and APIs. You will reproduce fraud and abuse attacks, build scalable tooling, and collaborate with Fraud Prevention, Product, Engineering and Security to strengthen defenses.

You will apply adversarial thinking to identify gaps, document findings, and help drive improvements across identity, payments, and entitlements.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field with 8+ years of hands-on industry experience.
• Strong software engineering or technical automation skills, with proficiency in Python or similar language.
• 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, and product-architecture understanding.
• Useful: JavaScript, cloud services, browser automation, CI/CD, security testing tools.

Responsibilities

• Conduct adversarial testing of Adobe’s externally facing products, services, APIs, and fraud controls to identify exploit paths.
• Recreate real-world fraud/abuse attacks to map attack paths and test defenses.
• Design/build automated testing tools and scripts to simulate fraud at scale using APIs and Python.
• Develop test scenarios across account creation, identity, payments, entitlements, APIs, and experiences.
• Partner with Fraud Prevention, Product, Engineering, Security to communicate findings and mitigations.
• Test new/existing controls to assess effectiveness and strengthen detection and prevention.
• Retest mitigations to confirm attack paths are closed and identify alternative methods.
• Document methodologies, findings, and recommendations; help build repeatable testing capabilities.
• Stay current on fraud/abuse/AI-enabled attacks and apply learnings to Adobe’s defenses.

Skills

Python

APIs

Automation

Git

SQL

Debugging

Education

Bachelor's or Master's in CS

Tools

Browser automation

CI/CD

Security testing tools

Cloud services

Job description

Designs and executes adversarial testing to identify how fraudsters and other bad actors may exploit Adobe’s externally facing products, APIs, customer journeys, and fraud controls. Uses software engineering, automation, data analysis, and adversarial techniques to recreate real-world attacks, test defenses, and identify control gaps. Partners with Fraud Prevention, Product, Engineering, and Security to translate findings into stronger defenses and retests mitigations to validate their effectiveness against evolving fraud and abuse techniques.

What You’ll Do

• Conduct adversarial testing of Adobe’s externally facing products, services, APIs, and fraud controls to identify how they may be exploited by fraudsters and other 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.

What You Need To Succeed

• 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 proficiency in Python or a similar scripting/programming language.
• Experience working 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, with curiosity about how bad actors exploit products and controls.
• Strong analytical skills and experience using SQL, logs, telemetry, or other data sources to understand system behavior and evaluate test results.
• An adversarial mindset with the creativity and persistence to identify alternative attack paths and methods of circumventing controls.
• Ability to understand complex product architectures and work effectively with Product, Engineering, Fraud, and Security teams.
• Strong communication and documentation skills with the ability to translate technical findings into clear risks and actionable recommendations.
• Strong judgment and commitment to conducting adversarial testing safely, responsibly, and within established authorization and testing boundaries.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry‑leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail].

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $139,000 - $257,550 annually. Paywithin this range varies by work locationand may also depend on job‑related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $177,900 - $257,550 In New York, the pay range for this position is $177,900 - $257,550

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short‑term incentives are in the form of sales commission plans. Non‑sales roles starting salaries are expressed as base salary and short‑term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award.

State‑Specific Notices

California

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado

Application Window Notice

There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.

Massachusetts

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.