Are you interested in working on a brand new, high-scale, and disruptive database service in AWS? This is your opportunity to become a leader in the Amazon Timestream team and help us build a service that will change how entire industries use time series data for optimization and decision making.
What is Timestream?
Timestream is a fast, scalable, fully-managed time series database service that makes it easy to store and analyze trillions of events per day in a cost-efficient manner. Time series data - data that measures how things change over time - is one of the fastest growing data types. Millions of smart industrial machines, IT systems, and IoT devices constantly emit vast amounts of telemetry. A modern car produces GBs of sensor data in a single day, modern aircrafts hundreds of GBs in a single flight, and even more data is generated on factory floors and by IT systems. Timestream is purpose-built to enable customers to analyze this vast amount of information for monitoring, process optimization, fault-prediction, and many other use cases that are either too expensive or impossible to realize using existing systems. Timestream is serverless and scales seamlessly without requiring customers to provisioning, setup, and configure servers, allowing them to focus on their business.
Why would you join our team?
This is a great opportunity to join a team of talented engineers and contribute to a truly innovative service very early in its life-cycle. You will help us build and optimize the next generation distributed query processing engine for time series analysis. You will enable operations such as smoothing, interpolation, and correlation of time series data, as well as advanced ML based functions at high performance and minimal cost. The query engine will scale to petabytes of data, while being nimble enough to support interactive queries on gigabytes of data. To achieve this performance, you will use advanced query optimization techniques, including cost-based, multi-objective optimization, and query rewriting with projection, predicate, and aggregate pushdown. If you have ever reasoned about the advantages of columnar data processing with SIMD-based acceleration, or if you have thought about using statistical learning for adaptive optimization, this is a great place to get your hands dirty. Beyond working on the query engine, you will have the chance to tackle challenges related to heat-management, scheduling, and resource life-cycle management, to efficiently and safely distribute query workloads in a multi-tenanted, serverless system.
If you are interested in leading the design and implementation of large-scale distributed systems, have a high quality bar, an aptitude for innovation, and a passion for solving challenging problems, we need you! You will have the opportunity to both mentor and delegate to strong engineers on your team and work with some of the most tenured architects of the AWS platform. Come help us innovate on behalf of our customers.
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