About the role
DESCRIPTION
CloudTune's goal is to invent new software systems that remove human decision-making from financial planning and scaling processes. We envision CloudTune Forecasts 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!
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
-
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
-
Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Amazon.com
Amazon Lab126 is an inventive San Francisco Bay Area research and development team that designs and engineers high-profile consumer electronic devices. We engineer devices like Fire tablets, Kindle e-readers, Amazon Fire TV, and Amazon Echo.
As the Amazon devices team, we deliver instant access to everything—digital or physical—from anywhere, via delightfully unique Amazon experiences that make life easier and more fun.
About the role
DESCRIPTION
CloudTune's goal is to invent new software systems that remove human decision-making from financial planning and scaling processes. We envision CloudTune Forecasts 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!
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
-
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
-
Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Amazon.com
Amazon Lab126 is an inventive San Francisco Bay Area research and development team that designs and engineers high-profile consumer electronic devices. We engineer devices like Fire tablets, Kindle e-readers, Amazon Fire TV, and Amazon Echo.
As the Amazon devices team, we deliver instant access to everything—digital or physical—from anywhere, via delightfully unique Amazon experiences that make life easier and more fun.