Minimum qualifications:

• Bachelor's degree in Computer Science, Information Technology, a Quantitative field, or equivalent practical experience.

• 4 years of experience relevant to building or reverse engineering JavaScript, PHP, and mobile/web applications.

• Experience with static and dynamic analysis of malicious binaries.

Preferred qualifications:

• Experience in handling multiple large datasets using languages such as SQL, Python.

• Experience identifying the use of popular JavaScript obfuscation libraries and subsequent deobfuscation techniques.

• Experience with fraud risk management and investigations, Internet advertising, or e-commerce, along with working in a security and/or privacy team on data protection and user trust.

• Ability to identify review workflow pain points and implement solutions to optimize or scale processes.

• Excellent written and verbal communication skills to clearly communicate technical concepts.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

• Conduct investigations to catch fraudsters, enforce our product policies, learn abuse patterns and establish ground truth.

• Identify security vulnerabilities in automated and manual review pipelines.

• Reverse engineer potentially harmful extensions to understand their operations and impact on the Chrome ecosystem.

• Design solutions that enable automatic identification of malware, spam and other harmful extensions. Create technical documentation/artefacts/training materials on investigations.

• Train and mentor a large team of security reviewers. Enhance operational workflows via process improvements and identifying automation opportunities.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.