Description

　　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 worldwide. Traffic Quality, within Amazon Advertising, builds technology to detect invalid traffic (IVT) and ensure that Advertiser spend worldwide is directed towards human audiences and protected from ad fraud.

　　As the Security engineering team within Traffic Quality, we research programmatic advertising risk landscapes to build an understanding of existing and emergent threats. We build specialized techniques to detect and mitigate these threats, contributing to a robust Traffic Quality platform that is a bedrock of advertiser trust and saves hundreds of millions of dollars in ad spend that would otherwise be lost to IVT. The Security Engineering team is responsible for: (a) Targeted threat hunting, including on the dark web, to consistently stay updated on modus operandi and risks associated with advertising fraud, (b) Building sophisticated mitigation techniques through reverse engineering known software, identifying network layer signatures, and conceiving client-side scripting methods, and, (c) Collaborating with security teams across Amazon for sharing intelligence and devising durable detection techniques.

　　As a Senior Security Engineer in the team, you are passionate about unraveling ad fraud tactics utilizing a diversity of highly specialized skills in reverse-engineering, deep packet inspection of network traffic, understanding of network security, operating systems and browser architectures. You accomplish your tasks by applying expert level knowledge to tools to understand not only what a particular piece of malware for perpetrating ad fraud can do but also how it does it. You work with internal security teams to identify and mitigate botnets, as well as leverage the ethical hacking community to obtain standard modus operandi, source code and tactics used by malware and botnets. The role requires influencing leaders across the company to improve our security bar and protect advertiser trust. A Senior Security Engineer also works with other product and security teams to proactively identify problems and suggest approaches to solve them.

　　Given the high level of ambiguity in the advertising fraud space, and the need to prepare for unknown unknowns, your creativity, judgement and bias for action will all be key ingredients towards delivering the right results for advertising customers.

　　We are open to hiring candidates to work out of one of the following locations:

　　London, GBR

　　Basic Qualifications

　　Bachelor's degree in Computer Science, Security engineering or relevant work experience.

　　Strong understanding of information security principles and best practices.

　　Strong understanding of network security, operating systems and browser security architecture.

　　Deep working knowledge of networking concepts: TCP/IP, HTTP, HTTPS, DNS, SSL/TLS etc and network monitoring tools like TCP Dump, Wireshark and Fiddler.

　　You have passion for reverse engineering, adware/malware analysis, threat detection and threat hunting.

　　You have strong communication and collaboration skills.

　　You show strong ownership, bias for action and ability to dive deep.

　　Experienced in handling large data sets and databases.

　　Preferred Qualifications

　　Experience with the advertising fraud domain.

　　Experience applying machine learning to security problems.

　　Demonstrated success in analyzing fraud software.

　　Prior experience working with disassemblers like IDA Pro and Ghidra.

　　Proficiency in any scripting language such as Perl, Python, Ruby.

　　Demonstrated ability to lead and mentor others.

　　Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences

　　Experience with a wide range of technologies and the ability to pick up new technologies quickly.

　　Most of all: enthusiasm, creativity, and inventiveness! You will be asked to find new ways to solve challenging problems every day.

　　Ideal candidates must be innovative, creative, flexible and self-motivated, with the ability to design and write high-performance, reliable, and maintainable code.

　　Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

　　Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel:+448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel:+3531800851489).