Do you have what it takes to stop a fraudster? Fraudsters are creative, motivated, and persistent. Your challenge is to build distributed systems that detect and prevent their attacks in order to protect AWS and our customers. You will work closely with Sr SDEs and machine learning research scientists to design next generation fraud prevention systems utilizing state of the art in machine learning, streaming applications, graph databases, workflows, and serverless solutions. You will get a chance to learn and utilize various technologies that power our applications, such as EMR, EC2, SWF, Sagemaker, Kinesis, and datasources from NoSQL databases like DynamoDB, as well as traditional databases like MySQL/RDS/Aurora. You will have the opportunity to learn machine learning in partnership with our research scientists and apply ML to solve complex ambiguous problems. Can you imagine your career path with experiences you’ll obtain in building highly scalable web services, big data, and machine
· Bachelor's Degree in Computer Science or related field · 1+ years of commercial software development experience · Fluency and experience in OOP languages, like Java or C# · Excellent problem solving ability and detailed knowledge of object-oriented design and development · Ability to excel in a fast-paced, startup-like environment· 2+ years of experience designing and implementing RESTful web services · Experience with building solutions using AWS services. · Experience building and operating mission critical, highly scalable distributed systems · Prior knowledge of payment processing, network