Software Development Engineer, Amazon Ads

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, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging GenAI and 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.

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 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
• Experience programming with at least one software programming language
• Bachelor's degree in computer science or equivalent

Preferred Qualifications

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing
• Experience integrating GenAI tools, evaluating and refining GenAI outputs, and applying responsible AI practices to augment productivity and quality