AmazonPosted 1d ago

Software Development Engineer, Platform Matching Systems and Policies (IAPP)

Software Development Engineer, Platform Matching Systems and Policies (IAPP) at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Seattleseniorfull-time$144k-$194k

AI in this role

Architects and builds LLM-powered matching platforms to process petabyte-scale product catalog data.

llmsdistributed-systems

software-engineeringbackenddistributed-systemsgenerative-aiinference-serving

The PRISM (Product Identity and Semantic Matching) team is responsible for establishing product identity and attributes, lighting up the product detail page, supply chain, and fulfillment use cases across all marketplaces. The portfolio of services and products we own directly impacts both seller and buyer experiences. Being the world's largest product catalog with billions of products and billions of transactions per day, the scale our services support is massive. For years, we've solved product matching at Amazon scale through a sophisticated combination of human-curated rules and traditional machine learning techniques applied to product data — and now, we're reimagining it all.

We are at an inflection point. We are rebuilding its legacy rule-based and classical ML matching algorithms into a new generation of LLM-powered AI systems. This is not a research experiment — it is a production rebuild that will redefine how Amazon understands every product on the planet. As a Software Development Engineer on this team, you will help architect, build, and ship the AI-native matching platform that replaces decades of accumulated logic with intelligent, language-aware, generalizable models running at Amazon scale. You will work on genuinely hard, unsolved problems: serving LLM-based inference over petabyte-scale product data, meeting sub-millisecond latency requirements in the critical path of buyer and seller experiences, and engineering systems capable of serving millions of requests per second. You will solve novel computer science problems at the intersection of large language models, retrieval, distributed systems, and large-scale data processing — problems for which no playbook yet exists.

Key job responsibilities
We are looking for a customer-focused and highly motivated software engineer to help build the software systems that will improve the quality of Earth's largest e-commerce catalog. This role offers you the opportunity to work with collaborative leaders, work backwards from customers, identify problems, propose innovative solutions, relentlessly raise standards, and have a positive impact on hundreds of millions of Amazon customers and millions of selling partners worldwide. If you are energized by taking generative AI from interesting demo to the production substrate of the world's largest catalog, this role was built for you.

About the team
The Items and Relationships Platform advances state-of-the-art GenAI to deeply understand and uniquely identify every product at Amazon scale. We build the canonical product identity and matching system that powers Amazon's universal catalog: eliminating duplicates, preventing abuse, and integrating the world's product data to power agentic shopping and trusted discovery for customers worldwide. We solve foundational challenges including schema-agnostic multimodal understanding, efficient inference at reduced cost, and rapid innovation through automated experimentation powered by agentic systems.

Basic 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 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

Preferred qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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Skills and AI tools this role asks for

Software EngineeringBackendDistributed SystemsGenerative AIInference ServingLlms

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where backend was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where inference serving was part of your work. What did you do?

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List these exact terms on your resume: Software Engineering, Backend, Distributed Systems, Generative AI, and Inference Serving. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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