Software Development Manager - Ml & Risk Management Platforms Job in Amazon

DESCRIPTION

Amazon.com's Risk Management Team has a worldwide reputation as the #1 in eCommerce Fraud Prevention. Trust and Safety of our customers comes first. Always. We thrive on maintaining the highest bar of customer experience while we maintain those tenets. Do you want to join a team that uses cutting edge technology including machine learning and statistical modeling techniques, cloud computing services and highly available and scalable distributed systems that supports hundreds of millions of transactions across the globe?

The Unified Risk Evaluation System team owns the charter of evaluating bad actor risk of all kinds (Buyer, Seller, Vendor) across entities such as Orders, Purchases, Signins and any event that will be useful to evaluate risky behavior. We process every single order and purchase in real time, totaling to more than 50 Billion evaluations in a year saving Billions of dollars that would otherwise be lost to bad actors. We build self-service capabilities to experiment new machine learning models and make it easy to onboard and manage 100s of risk use cases all over the world. We are the gate keepers of customer trust by preventing bad actors from doing damage to good customers or scamming Amazon. The problems we solve will challenge the best in terms of scale, ingenuity of bad actors and the cost of making risk decisions through bold goals we take such as automate 100% of risk decisions or reduce fraud and Abuse by 50% year over year.

BASIC QUALIFICATIONS

7+ years of relevant engineering experience
3+ years of people management experience, managing engineers
Experience in partnering with product and program management teams
Bachelors or Masters Degree in Computer Science or related field
Strong in Object-oriented design, data structures and design patterns
Good problem solving and ability to develop optimal algorithms
10+ years of experience in Java, C++, C# , Ruby or Python.
10+ years of industry experience in designing and implementing distributed N-tier software systems
Experience developing on a Linux platform
Attention to detail coupled with ability to think abstractly
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Strong debugging, monitoring , diagnosing skills for IT systems
Keen eye for performance, security and scalability aspects
Coaching and guiding cross-functional engineers
Strong exposure to automated testing and test coverage aspects

PREFERRED QUALIFICATIONS

Solid foundation in computer science fundamentals, including data structure and algorithms
Experience developing software services with an understanding of design for scalability, performance, and reliability.
Knowledge of professional software development life cycle best practices, including coding standards, code reviews, source control management, build processes, testing, and operations
Ability to take a project from scoping requirements through actual launch of the project
Excellent verbal and written English communication skills
Basic knowledge of Machine Learning