We're looking for software developers with the expertise, ambition, and passion to solve difficult problems in distributed systems, high-performance storage systems, and database internals. Experience with data analysis, distributed caching, or optimization algorithms are all big pluses. AWS is a unique place where you can design and build innovative technologies in a very large distributed computing environment and help lead fundamental changes in the industry.
On the Amazon DynamoDB team, our mission is to provide customers with best-in-class cloud data services to store, query, and analyze the enormous datasets that their businesses generate. We build distributed storage, index, and query systems that are scalable, fault tolerant, low cost, and easy to manage and use.
These are exciting timeswe are building an elite team of developers in Seattle to work on ambitious initiatives to keep pace with the global demand for DynamoDB. Check out this video for one example of how DynamoDB helps its customers scale their database needs.
The Resource Governance team is part of the DynamoDB Storage Technologies space. The team focuses on driving DynamoDB availability even higher while keeping storage costs low for our customers. We innovate at the heart of the distributed systems problem space with distributed admission control algorithms, real-time placement heuristics, and control-plane task engine, which execute all DynamoDB control-plane workflows.
The team is working on admission-control algorithms to allow collaboration between tens of thousands of machines in real time and build a new placement system. The team also owns DynamoDB availability and billing modes.
Last year, we launched on-demand capacity mode and changed the way many customers are using DynamoDB. Now is the time to make on-demand capacity mode and provisioned capacity mode even smarter and better for our customers.
To make placement decisions, we take a lot of parameters such as partition (shard) characteristics, historical trends, and real-time status of storage node servers. We use a lot of techniques spanning distributed systems to make optimal placement decisions.
Balancing a huge fleet of storage nodes hosting many millions of live partitions is a big challenge that we are just beginning to tackle. Making optimal choices to drive fleet utilization higher without impacting the customer experience is a challenging problem with crucial impact on customers' ease of use and cost.
In addition we face unique scale, availability, latency, and coordination challenges of running what is arguably the largest NoSQL deployment on the planet.
Drive the architecture and technology roadmap and execution for key DynamoDB features.
Define functional and technical feature epics and user stories, and translate them into detailed solutions architecture.
Code and test system components, and lead code and design reviews.
Deliver and operate highly available, scalable, low-latency services in production.
Be responsible for overall system architecture, scalability, reliability, and performance.
Mentor other engineers, define the technical culture, and help grow the team.
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