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Sr. Software Development Engineer, Amazon Ads, Sponsored Products and Brands

Amazon Jobs

Seattle (WA)

On-site

USD 151,000 - 262,000

Full time

Yesterday
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Job summary

A leading e-commerce company in Seattle is seeking a Software Development Engineer for its Sponsored Products and Brands team. This role involves designing and optimizing large-scale systems using generative AI technologies. Candidates should have 5+ years of software development experience and expertise in Python or C++. The position focuses on creating innovative advertising solutions, enhancing customer engagement, and ensuring operational excellence. The role offers a competitive salary with comprehensive benefits.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming experience in at least one software programming language.
  • Experience leading design or architecture of new and existing systems.

Responsibilities

  • Design, develop, and operate large-scale distributed systems.
  • Build and optimize data pipelines for ad retrieval and recommendations.
  • Collaborate with applied scientists and product managers.

Skills

Software Development
Generative AI
Python
C++
Machine Learning
System Design

Education

Bachelor's degree in computer science or equivalent
Master's degree in computer science or equivalent
Job description

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Key job responsibilities
  • Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.
  • Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.
  • Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
  • Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
  • Write high-quality, maintainable code and participate in design and code reviews.
  • Drive operational excellence through monitoring, automation, and continuous improvement.
A day in the life

As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering.

About the team

The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon—such as product detail pages, the homepage, and store-in-store pages—to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search. We operate full stack—from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences—all designed to deliver meaningful value.

Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we’re helping businesses grow on Amazon.com and beyond! 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Knowledge of Python and/or C++ programming Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Bachelor's degree in computer science or equivalent- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in computer science or equivalent

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team
  • Knowledge of Python and/or C++ programming
  • Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • Bachelor's degree in computer science or equivalent- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Master'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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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