Drimva

Amazon

Software Development Engineer , Inventory Accounting

$144K–$194K

Redmond, WA · Full-time · Posted Oct 22, 2026

Experience
3+ years of professional software development; 2+ years of design or architecture; 2+ years developing large-scale software.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
Visa sponsorship
Due to export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

About the job

Build and operate a scalable inventory-accounting platform for Amazon LEO commerce, coordinating logistics and financial workflows across global markets.

What you'll do

  • Design and deliver end-to-end commerce logistics systems and distributed orchestration across internal and external services.
  • Own lifecycle systems from requirements and implementation through financial configuration, test automation, and production validation.
  • Build AI/ML foundations, knowledge bases, and intelligent automation to improve developer productivity and country-launch speed.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling.
  • 2+ years designing and developing large-scale applications, tools, systems, or services using C#, C++, Java, or Perl.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; programming experience in at least one language.

Nice to have

  • 3+ years across the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Bachelor's degree in computer science or equivalent.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

C#, C++, Java, Perl

AI focus

Establish AI/ML foundations, including knowledge base architectures and intelligent automation frameworks, to accelerate developer productivity and country launches.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 5, 2026 (UTC)