Software Development Engineer, Sponsored Product Sourcing Delivery

Company: Amazon.com

Location: Seattle, WA

Salary: $143,700 - $194,400 a year

Type: Full-time

Level: mid

Posted: 2026-02-10

About this role

## DESCRIPTION

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.

We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day. We are highly motivated, collaborative and fun-loving, with entrepreneurial drive and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

The Sponsored Sourcing Delivery team owns Ads Searching, Selection and Ads matching systems that involve high throughput low latency Search architecture. As SDE you will be part of team that owns services to handle billions of requests per day, while maintaining response latencies in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would drive step increases in coverage of sponsored ads across the retail website and ensure relevant ads are served to Amazon's customers. This role will provide exposure to innovations in product search, information retrieval, natural language processing (NLP), deep learning, massively scale application architecture.


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