DESCRIPTION
Job summary
Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. The Traffic Quality team builds technology to detect robot and fraud traffic within programmatic advertising sources, towards ensuring a high quality advertising marketplace. Within this, the Traffic Quality Forensics team invests in security engineering and Javascript techniques to build more durable signatures of bot traffic. The challenge is to stay one step ahead by building a 360 degree understanding of the risk landscape and the specific incentives ad fraud, and invest in a robust suite of security engineering approaches to mitigate these in the short and long-term. We are committed to building a long-term traffic quality solution that enhances advertiser trust and saves them hundreds of millions of dollars of wasted spend.
Traffic Quality Forensics is looking for talented Security Engineers who can improve our capabilities of detecting, preventing and predicting undesirable ad traffic. This role requires you to be a highly specialized reverse-engineer, programmer and detective. You will accomplish your tasks by using tools and expert level knowledge to understand not only what a particular piece of malware can do but also how it does it.
As a Security Engineer you will research on browser to find behavioural difference and develop methods to detect automation by reverse engineering and traffic instrumentation of tools like Selenium, Playwright or Puppeteer. You will research and develop signal collections on both mobile and desktop, which enables detection and create mitigation solutions. You will find bad stuff on the internet, see if you can figure out how is done, document it. As a Security Engineer you will use honey pots to lure live malwares committing advertising fraud, analyze its activity and identify its signature. You will work with the internal security teams to identify botnets and prevent them from adversely impacting our ad network. You will also leverage the ethical hacking community to obtain standard modus operandi, source code and tactics used by malwares and botnets.
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