Software Development Engineer, Ads Traffic Quality
Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publishers, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces.
Within Amazon Ads, Traffic Quality Signal Engineering and Analytics is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced signal collection, detection, and analytics capabilities that work at petabyte scale to identify and mitigate sophisticated invalid traffic (IVT) — including non-human traffic, bot networks, agentic bot traffic, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. We achieve this by building client-side and network telemetry collection systems, enabling forensics detection signatures, and business metrics reporting. We process billions of ad events daily, developing novel detection techniques that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless advertiser experience.
Key job responsibilities
- Own the full development cycle for production-level systems: design, implement, test, and deploy.
- Build and maintain large-scale data pipelines, signal collection systems, and analytics infrastructure.
- Develop dashboards and reporting pipelines to measure system effectiveness and business impact.
- Deliver high-quality code and participate actively in peer code reviews.
- Investigate design approaches, prototype solutions, and evaluate technical feasibility.
- Drive operational excellence by identifying problems and proposing improvements.
- Communicate effectively with local and remote teams, both verbally and in writing.
A day in the life
You will work closely with Security Engineers, Data Scientists, Senior Engineers, and Product Managers to understand the problem space, compile requirements, and build solutions using the right technologies and design principles. You will build and own analytics and reporting that provide teams with visibility into system effectiveness and business impact. You will gain experience building and operating large-scale, high-throughput data systems, and collaborate across teams to integrate new data sources and expand coverage.
About the team
The Traffic Quality Signal Engineering and Analytics team builds and operates invalid traffic detection, signal collection, and analytics systems that form the bedrock of advertiser trust in Amazon Ads. We work across the full detection lifecycle — from client-side signal collection and network telemetry ingestion, through forensic investigation and signature deployment, to business metrics reporting that measures the effectiveness of TQ's detection capabilities. We are a diverse, globally distributed team that is constantly looking to learn, innovate, experiment, and have fun while obsessing over protecting advertisers. - Experience (non-internship) in professional software development
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.
Within Amazon Ads, Traffic Quality Signal Engineering and Analytics is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced signal collection, detection, and analytics capabilities that work at petabyte scale to identify and mitigate sophisticated invalid traffic (IVT) — including non-human traffic, bot networks, agentic bot traffic, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. We achieve this by building client-side and network telemetry collection systems, enabling forensics detection signatures, and business metrics reporting. We process billions of ad events daily, developing novel detection techniques that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless advertiser experience.
Key job responsibilities
- Own the full development cycle for production-level systems: design, implement, test, and deploy.
- Build and maintain large-scale data pipelines, signal collection systems, and analytics infrastructure.
- Develop dashboards and reporting pipelines to measure system effectiveness and business impact.
- Deliver high-quality code and participate actively in peer code reviews.
- Investigate design approaches, prototype solutions, and evaluate technical feasibility.
- Drive operational excellence by identifying problems and proposing improvements.
- Communicate effectively with local and remote teams, both verbally and in writing.
A day in the life
You will work closely with Security Engineers, Data Scientists, Senior Engineers, and Product Managers to understand the problem space, compile requirements, and build solutions using the right technologies and design principles. You will build and own analytics and reporting that provide teams with visibility into system effectiveness and business impact. You will gain experience building and operating large-scale, high-throughput data systems, and collaborate across teams to integrate new data sources and expand coverage.
About the team
The Traffic Quality Signal Engineering and Analytics team builds and operates invalid traffic detection, signal collection, and analytics systems that form the bedrock of advertiser trust in Amazon Ads. We work across the full detection lifecycle — from client-side signal collection and network telemetry ingestion, through forensic investigation and signature deployment, to business metrics reporting that measures the effectiveness of TQ's detection capabilities. We are a diverse, globally distributed team that is constantly looking to learn, innovate, experiment, and have fun while obsessing over protecting advertisers. - Experience (non-internship) in professional software development
- Experience in professional, non-internship software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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.