Cloud Capacity Forecasting Engineer

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Job summary

Amazon Development Center U.S., Inc. in Seattle seeks a Software Development Engineer to help build a world-class capacity forecasting platform and scalable distributed systems.

You will own parts of the product from concept to production, dealing with ambiguity and delivering high-impact software for billions of users. You will learn how to design multi-tier systems, work with large time-series data, and contribute to inventory replenishment and utilization optimization across AWS services.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience (design patterns, reliability and scaling).
• 1+ years of software development engineer or related occupational experience.
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl.
• 1+ years of Object Oriented Design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

Skills

3+ years of professional software

2+ years design or architecture

1+ years software development engineer

1+ years OO design

Experience programming language

Education

Bachelor's degree in CS/Engineering/Math

Tools

C#

C++

Java

Perl

Job description

Amazon Development Center U.S., Inc. in Seattle seeks a Software Development Engineer to help build a world-class capacity forecasting platform and scalable distributed systems.

You will own parts of the product from concept to production, dealing with ambiguity and delivering high-impact software for billions of users. You will learn how to design multi-tier systems, work with large time-series data, and contribute to inventory replenishment and utilization optimization across AWS services.