Drimva

Amazon

Software Development Engineer, Amazon Quick Suite

$144K–$194K

Seattle, WA · Full-time · Posted Sep 23, 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 designing and developing large-scale software applications, tools, systems, or services.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build and operate scalable distributed systems for multimodal document ingestion, machine-learning integration, and retrieval in Amazon Quick Suite.

What you'll do

  • Design, develop, test, and deploy distributed systems and large-scale solutions.
  • Build and optimize ingestion pipelines and retrieval features for multimodal content.
  • Drive system architecture and technical direction, collaborate across teams, and coach junior engineers.

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.
  • Experience designing and developing large-scale software using C#, C++, Java, or Perl; experience with Object Oriented Design and at least one programming language.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

Nice to have

  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control, 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, Bedrock, ECS, DynamoDB

AI focus

Develop distributed machine-learning systems and multimodal document ingestion using computer vision and machine learning; integrate machine-learning models and support retrieval-augmented generation.

Model-written summary · the original posting is authoritative

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