The vast majority of data in the world is cold — durably and securely retained for long periods of time, but rarely ever accessed. Conventional storage systems are a poor fit for this domain as they are typically optimized for speed rather than space and cost. Amazon Glacier has been designed from the very start to provide secure, durable, and scalable data storage at a very low cost. This unusual set of constraints requires us to solve fascinating scaling and algorithmic problems that have never been tackled at our scale. At our scale, exceedingly rare race conditions are all but a certainty. As an engineer on our team, you'll have the opportunity to guide the design and implementation of a distributed storage service that operates at cloud scale. Your design and development work would range from distributed system service development in Java, to low level systems coding that interfaces directly with hardware. You'll be working to bring brand new systems to production use, and to do so you'll need to solve interesting computer science problems. We are looking for someone who is keen to invent in this space, and build what could easily become the largest data storage service on the planet. Some of the projects that you'll have an opportunity to work and drive: - Maintaining the durability of customer data by building systems that ensure data integrity and redundancy at scale. - Massive storage cost reductions - S3 Glacier Deep Archive, is already available at less than a dollar per TB per month. - Scaling our systems to support the workloads generated by our rapid growth.
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Job Type
Full-time
Career Level
Entry Level