Amazon makes and sells Echo, Kindle, Fire TV, Fire Tablet, Ring, Blink, Eero, among other
devices. It is critical that Amazon makes the right amount of each device available for purchase.
Amazon is looking for a customer obsessed software engineer to join the Amazon Devices
Demand Forecasting team in Seattle, WA. Our work impacts Amazon’s device business by
forecasting demand and managing supply for all Amazon Devices. We are a growing team that
continuously improves our delivery of these forecasts to our customers. We are looking for an
engineer who is a technical leader and ready for challenges, with an interest in ML.

Key job responsibilities
We will work together on defining and building features in multiple core services, and user
applications. You will work with other engineers to drive systems architecture, write code,
participate in reviews, and continuously improve our software development practices. We will
make important decisions, learn from our mistakes, and continuously improve by diving deep into
data and metrics to identify opportunities. We will leverage Amazon’s Native AWS infrastructure to build systems and design algorithms that are able to handle large amounts of
data. We will design systems that handle huge amounts of data. We solve hard, real world
problems with industry best practices where they exist and our own best judgement to forecast
demand so that we can guide decision makers on the greater Amazon Devices team.

A day in the life
You are a curious engineer looking for a career where you'll be able to innovate fast, deliver, and
influence. You love delivering high-quality software products and services at large scale. You
have expertise solving problems using software systems, AWS tools, and working together as a
team to constantly improve.

About the team
We will work on defining and building features in multiple core services, and user applications.
You will work with other engineers to drive architecture, code, review, and improve our software
development practices. We will make important decisions, learn from mistakes, and continuously
improve by diving deep into data and metrics. We will design algorithms that are able to handle
large amounts of data. We solve hard, real world problems with industry best practices where
they exist and our own best judgement to forecast demand so that we can guide decision makers
on the greater Amazon Devices team.