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.
As an engineer on our team, you'll have the opportunity to lead 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 challenging computer science problems.
We are looking for an engineer who is keen to lead, invent in this space, and build what could become the largest data storage service on the planet.
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