Description de l'offre
Catch a fraudster if you can. Your challenge is to build distributed systems that prevent fraud attacks and the imaginative ways fraudsters try to do bad things.
We invent new techniques to detect and stop these bad actors, leveraging the latest in data mining, predictive modeling, and enforcement. Our broader team, AWS Fraud Prevention, is a centralized team within AWS that protects all AWS services from fraud and abuse, and ensures the experience of legitimate AWS customers is not negatively impacted by a few bad actors.
You will get a chance to learn and utilize various technologies that power our applications, such as EC2, Lambda, Sagemaker, Kinesis, and DynamoDB. Working closely with Sr SDEs and machine learning research scientists, you will help design the next generation fraud prevention systems utilizing the state of the art in machine learning, streaming applications, graph databases, workflows and serverless solutions.
The ideal candidate will have strong distributed systems and web services design and implementation experience, as well as experience working on high availability production systems. Machine learning experience is plus but not a must: you will get opportunity to learn this as part of the role.
· Bachelor's Degree in Computer Science or related field
· 3+ years of software development experience
· Fluency and experience in OOP languages, like Java
· Excellent problem solving ability and detailed knowledge of object-oriented design and development
· Ability to excel in a fast-paced, startup-like environment