Software Development Engineer
- Tempe, AZ
You have super powers. Use them for good. We catch bad guys and stop online fraud. It's fun. It's hard. It matters. We need you.
Amazon's Customer Trust and Partner Support (CTPS) team is engaged in a technological arms race: cyber-criminals from across the world continually look for new ways to steal from us and cover their tracks, while we invent new techniques to detect and neutralize them with ever increasing speed and scale.
It's fun. We don't just catch the bad guys; we stop crimes before they happen. Remember the "Minority Report"? It's just like that. Basically, we predict the future by developing and applying cutting-edge machine learning systems to detect, predict, and prevent online fraud before it happens.
It's hard. This is Amazon, so of course our services are low latency, high throughput, highly scalable, and failure proof. Our fraud prevention systems are also highly reactive: we process multiple terabytes of data yet notice changes in individual behavior patterns in seconds. Even by Amazon standards, our datasets are massive and our transaction rates impressive, and everything is built with a scrupulous attention to security.
It matters. Amazon is one of the world's most trusted companies. Consider the implications of losing that trust. Third-party sellers account for nearly half the items purchased on Amazon. This nearly always goes smoothly; but when sellers cheat buyers, everyone loses. Even after we refund their money, buyers are less likely to shop at Amazon in the future. Legitimate sellers lose potential sales and are less likely to sell on Amazon. And of course, the money Amazon pays in refunds and chargebacks goes straight to our bottom line and ultimately results in higher prices for all our customers.
We are looking for a gifted software engineer to design the next generation of fraud risk management systems for Amazon.
Amazon is one of the world's most trusted companies. Help us keep it that way.
By submitting your application here, you can apply once to be considered for multiple Software Engineer openings across various Amazon teams. If you are successful in passing through the initial application review and assessment, you will be asked to submit your career and personal preferences so that our dedicated recruiters can match you to the right role based on these preferences.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
• 2+ years of non-internship professional software development experience
• Bachelor's Degree in Computer Science or related field • Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education • 2+ years professional experience in software development • Computer Science fundamentals in object-oriented design • Computer Science fundamentals in data structures • Computer Science fundamentals in algorithm design, problem solving, and complexity analysis • Proficiency in, at least, one modern programming language such as C, C++, Java, or Perl • Excellent problem solving skills. • Good written and oral communication skills, be a fast learner and have the ability to adapt quickly to a fast-paced development environment.
Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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