Drimva

Amazon

Software Development Engineer, Amazon Fulfillment Technologies (AFT) - Platform Engineering & Services

$144K–$194K

Bellevue, WA · Full-time · Posted Oct 12, 2026

Experience
3+ years of non-internship professional software development; 2+ years of non-internship design or architecture; 1+ years of software development engineer or related occupational experience; 1+ years of specified application development and Object Oriented Design experience.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build and operate IRIS AI Studio, a self-service platform that enables Amazon Fulfillment teams to create, deploy, and manage AI agents integrated with operational systems.

What you'll do

  • Develop the agent-building studio, runtime infrastructure, and integrations across the full stack.
  • Own software problems end-to-end, from design through production.
  • Build a reliable, flexible, and accessible platform for AI agents used across fulfillment operations.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
  • 1+ years designing and developing large-scale applications, tools, systems, or services using C#, C++, Java, or Perl; and 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.

Nice to have

  • 3+ years of full software development life cycle experience, 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

Build a no-code platform for teams to create, deploy, and operate custom AI agents that investigate incidents, answer domain-specific questions, and take action through integrations with operational systems.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)