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A leading e-commerce firm is seeking a Software Developer to design systems for time series forecasting. This role requires over 3 years of experience in software development and familiarity with design patterns. Candidates will work on large-scale systems to improve automation and forecasting accuracy. This opportunity is situated in a fast-paced agile team that drives innovation and develops effective solutions to complex challenges.
CloudTune's goal is to invent new software systems that remove human decision-making from financial planning and scaling processes. We envision CloudTune driving end-to-end automation that provisions Amazon's services appropriately for a great customer experience. We aim to eliminate vast quantities of undifferentiated and often tedious work for Amazon development teams - our opportunity for impact to tens of thousands of developers is enormous. The team develops large-scale scale models to inform team-level budget allocations and procurement/ allocation of compute capacity for Amazon businesses during new product launches, high velocity events and non-peak periods.
This role will be contributing to a managed service that uses historical data and business signals to deliver time series forecasting for specialized use cases. The service combines a variety of distinct forecasting models, including neural networks, to produce highly accurate forecasts. We are looking for talented software developers to design systems and services that will tackle increasingly complex challenges. These systems handle a very large volume of data that need to be processed by sophisticated algorithms, presenting challenging scalability, efficiency, and distributed systems design problems. Our team members also benefit from the mentoring and guidance of senior developers and have the opportunity to contribute to our product vision.
We are an agile team with significant impact. If you can think big, want to be a part of a fast moving team breaking new ground at Amazon.com, and you meet the qualifications, we would like to speak with you!
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