Catch a fraudster if you can. Your challenge is to build distributed systems that sustain fraud attacks and imaginative ways fraudsters try to go around to do bad things. You will work closely with Sr SDEs and machine learning research scientists to design next generation fraud prevention systems utilizing the 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, traditional databases like MySQL/RDS/Aurora. On top of that you will get an 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 learning? You should be someone who wants to build
· Bachelor's Degree in Computer Science or related field · 1+ 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· Graduate (Ms or PHD) in Computer Science or related field · 1+ years of experience designing and implementing RESTful web services · Experience with data mining, machine learning or predictive modeling systems · Experience building and operating mission critical, highly scalable microservices