Cloud Infra Software Engineer II - Data Center Automation

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

Benefits offered by this job

Health insurance

RSUs

Job summary

Amazon Data Services, Inc. is seeking a Software Development Engineer to own substantial parts of large-scale problems within the Network Lifecycle Management cabling team.

You will help design and deliver automation that optimizes material orders and resource allocation for global data centers, shaping the future of Amazon's infrastructure. You will collaborate across AWS to ensure safety, reliability, and cost efficiency while delivering impactful solutions at scale.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems 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 experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Responsibilities

• Own substantial parts of complex, large-scale problems with real impact on Amazon's infrastructure.
• Develop data center digital twin automation to support automated fiber infrastructure design that optimizes material orders and resource allocation at scale.

Skills

Software development

Software architecture

Large-scale design

Education

Bachelor's degree

Tools

C#

C++

Java

Perl

Job description

Amazon Data Services, Inc. is seeking a Software Development Engineer to own substantial parts of large-scale problems within the Network Lifecycle Management cabling team.

You will help design and deliver automation that optimizes material orders and resource allocation for global data centers, shaping the future of Amazon's infrastructure. You will collaborate across AWS to ensure safety, reliability, and cost efficiency while delivering impactful solutions at scale.