Software Development Engineer, AWS Demand Planning
Amazon.com
The AWS Capacity Forecasting team engages with all AWS service teams to build the world's largest Cloud infrastructure. Come make history!
Our main objective is to perform demand planning to create forecast which helps power all the AWS services physical infrastructure needs. The team owns demand forecasts software and capacity optimization systems hardware which produces hardware ordering recommendation. As part of EC2 Core Platform, we aim to strike a nimble balance between capacity availability and utilization.
We provide demand forecasts for all AWS services and automate the procurement of hardware to support our rapidly growing business. We apply advanced forecasting, data mining, and machine learning techniques to predict customer demand growth. We also build capacity models for foundational AWS services and identify their performance bottlenecks (disk/CPU/IO, etc.) to serve ever-increasing customer demand. Combining the demand forecast and the capacity model, we generate hardware purchases that optimize across customer experience and hardware utilization. Our software drives the many billions of dollars in CapEx that AWS spends every year, and our projects help improve AWS utilization to reduce CapEx by 100s of millions of dollars every year.
On technology front, we use Scala, Java, Python, JavaScript, Lambda, DynamoDB, as well as other public AWS services and Amazon-internal tools. We are looking for someone who is passionate about data and problem solving. We don’t expect you to be an expert in-- or necessarily familiar with-- all of these technologies, but we expect you to be excited to learn.
Key job responsibilities
You will work directly with business owners, research scientists, other software development teams, and owners of major AWS services. This role requires an individual with excellent analytical abilities, deep knowledge of software engineering principles, as well as a passion for problem-solving. Ideally, you are comfortable with ambiguity and accessing and working with data from multiple sources.
This position involves on-call responsibilities but since we don't own any direct customer facing services, the operational load is manageable.
Our main objective is to perform demand planning to create forecast which helps power all the AWS services physical infrastructure needs. The team owns demand forecasts software and capacity optimization systems hardware which produces hardware ordering recommendation. As part of EC2 Core Platform, we aim to strike a nimble balance between capacity availability and utilization.
We provide demand forecasts for all AWS services and automate the procurement of hardware to support our rapidly growing business. We apply advanced forecasting, data mining, and machine learning techniques to predict customer demand growth. We also build capacity models for foundational AWS services and identify their performance bottlenecks (disk/CPU/IO, etc.) to serve ever-increasing customer demand. Combining the demand forecast and the capacity model, we generate hardware purchases that optimize across customer experience and hardware utilization. Our software drives the many billions of dollars in CapEx that AWS spends every year, and our projects help improve AWS utilization to reduce CapEx by 100s of millions of dollars every year.
On technology front, we use Scala, Java, Python, JavaScript, Lambda, DynamoDB, as well as other public AWS services and Amazon-internal tools. We are looking for someone who is passionate about data and problem solving. We don’t expect you to be an expert in-- or necessarily familiar with-- all of these technologies, but we expect you to be excited to learn.
Key job responsibilities
You will work directly with business owners, research scientists, other software development teams, and owners of major AWS services. This role requires an individual with excellent analytical abilities, deep knowledge of software engineering principles, as well as a passion for problem-solving. Ideally, you are comfortable with ambiguity and accessing and working with data from multiple sources.
This position involves on-call responsibilities but since we don't own any direct customer facing services, the operational load is manageable.
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