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Software Development Engineer-TRMS

Software Development Engineer-TRMS

Job ID 
592989
Location 
IN-KA-Bangalore
Posted Date 
03-11-2017
Company 
ADCI - Karnataka
Recruiting Team 
..

Job Description

Have you ever thought about what it takes to detect and prevent fraudulent purchases among hundreds of millions of e-Commerce transactions in different countries? What would you do to create a trusted marketplace where millions of buyers and sellers can safely transact online? What kinds of processes and systems would you build to maximize customer satisfaction and trust? We are involved in a technological arms race: sophisticated criminals from all over the world are continually discovering new ways to steal from us and getting better at covering their tracks, while we are pioneering new techniques to detect and neutralize them.

The TRMS (Transaction Risk Management Systems) team has a worldwide reputation as the #1 in eCommerce Fraud and Abuse Prevention. The TRMS group builds highly scalable, flexible and distributed software systems that minimize risk and maximize trust in Amazon. We utilize the power of data at every step - compute predictive variables, build models using machine learning algorithms and plug into different pipelines to prevent fraudulent and abusive transactions from taking place.

Have you always wanted to be a force for good over evil? If yes, join us.

Basic Qualifications

We're looking for people with the following qualifications:
  • Expertise in Java or C++ or any object-oriented language
  • A strong background in algorithms and data structures.
  • A focus on clean code and solid designs.
  • LLD and HLD
  • A solid understanding of relational databases and SQL and/or non-relational DBs like Dynamo, MongoDB etc.
  • At least a bachelor degree in computer science or equivalent
  • Solid development experience of 4+ years
  • The ability to work effectively in a dynamic environment

Preferred Qualifications

Also highly desired:
  • A strong Linux (or UNIX) background.
  • Experience with machine learning techniques.
  • Experience with large-scale multi-tiered systems and service-oriented architecture.
  • Experience with scripting languages such as Perl or Ruby