Software Development Engineer, Quick Suite; AWS
Listed on 2026-07-18
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Software Development
Backend Developer, Machine Learning/ ML Engineer, Software Engineer, Cloud Engineer - Software
Software Development Engineer, Amazon Quick Suite
Job : | Amazon Development Center U.S., Inc.
Job OverviewWe're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting‑edge retrieval‑augmented generation technology that powers Amazon Quick Suite's intelligent document processing and search capabilities. You'll design and build scalable ingestion pipelines that handle multi‑modal content (PDF, audio, video, tables) using computer vision and machine learning, optimize system performance for millions of documents, and collaborate across teams to deliver features that directly impact customer experience.
This role offers the opportunity to work with modern AWS technologies including Bedrock, ECS, and DynamoDB while solving complex distributed systems challenges at scale.
You will design, develop, and maintain scalable ingestion pipelines that process millions of documents across multiple formats including PDF, audio, video, and structured tables. You'll optimize system performance and reliability, implement computer vision and machine learning solutions for content extraction, and collaborate with applied scientists to integrate advanced retrieval models. You'll also participate in on‑call rotations, conduct code reviews, mentor team members, and contribute to architectural decisions that shape the future of AWS Quick Suite's document intelligence capabilities.
ADay in the Life
As a Software Development Engineer on the AWS Quick RAG team, you'll start your day reviewing system metrics and performance dashboards to ensure our ingestion pipelines are processing millions of documents efficiently. You'll spend time coding—whether building new features for multi‑modal content processing, optimizing retrieval algorithms, or debugging complex distributed systems issues. Throughout the day, you'll collaborate with applied scientists on machine learning model integration, participate in design reviews with partner teams, and contribute to architectural decisions that shape how customers interact with their data.
You'll mentor junior engineers through code reviews and technical discussions, balancing hands‑on development with the opportunity to influence the technical direction of a product used by thousands of enterprise customers.
The AWS Quick RAG team is responsible for building and maintaining the intelligent document processing backbone of Amazon Quick Suite. We develop scalable ingestion pipelines that handle millions of documents across multiple modalities—PDF, audio, video, tables, and more—using advanced computer vision and machine learning techniques. Our work directly powers Quick Suite's search and retrieval capabilities, enabling enterprise customers to unlock insights from their data.
We're a collaborative, innovation‑driven team that values technical excellence, operational rigor, and customer obsession.
- 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 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 experience
- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
The base salary range for this position is - USD annually in Seattle, WA. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
Learn more about our benefits at (Use the "Apply for this Job" box below)..
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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