SoftwareDevEngineerII,AmazonDocumentDB

If you want to be part of engineering team that is shaping the future of NoSQL databases, then Amazon DocumentDB might be a great fit for you. As a member of DocumentDB team, you will work on every facet of computer science including distributed computing, large-scale design, big and real-time data processing, data storage, service oriented architecture, networking, machine learning, and artificial intelligence. We are looking for highly-motivated and passionate engineers to build our next generation high performance document database engine and data storage platform to solve real-time query, transaction and analytics processing for large scale data applications. You will also get to work with exceptional team members and be directly involved in growing and mentoring junior engineers on the team. Amazon DocumentDB (https://aws.amazon.com/documentdb/ ) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Our customers use MongoDB as a document database to store, retrieve, and manage semi-structured data. However, it is hard to build performant, highly available applications that can quickly scale to multiple terabytes and hundreds of thousands of reads- and writes-per-second because of the complexity that comes with setting up and managing MongoDB clusters at scale. Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. Amazon DocumentDB uses a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64 TB per database cluster. To apply for this role, we are looking for folks with solid analytical, design and problem diagnosis skills, expertise with systems programming, database internals, high-performance applications, distributed systems or service design is a plus. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackl