Software Development Engineer, Benchmarks

Build the AI-agent-powered data platforms that process billions of events daily to help advertisers understand what good looks like sitting at the intersection of petabyte-scale data engineering real-time distributed systems and innovative AI agent interfaces. This isnt a team that talks about AI were actively shipping it into production.

Were building agent-friendly APIs that let AI systems autonomously query interpret and surface benchmark insights to advertisers in real time. Were deploying operational AI agents that cut incident resolution times in half and using GenAI-driven development practices to ship faster. On the data side our infrastructure exceeds petabyte scale with millions of transactions per second we recently migrated our data lake to Apache Iceberg built real-time streaming pipelines with Spark and designed unified reporting solutions that serve both human UX and AI agent consumption patterns. Our work regularly features at Amazon Ads unBoxed flagship conference.

What makes this role stand out:
- Youll build systems consumed by both humans and autonomous AI agents a new paradigm in advertising data
- Petabyte-scale infrastructure with millions of transactions per second
- GenAI-accelerated development practices from spec-driven development to autonomous testing tools
- Stable well-built systems with reasonable on-call focused on continuous improvement not firefighting

Key job responsibilities
- Design and build scalable real-time data systems that power advertiser-facing measurement products and AI agent interfaces
- Own end-to-end delivery: requirements design implementation testing deployment and operational support
- Build monitoring alerting and data quality frameworks that ensure reliability at petabyte scale
- Optimize distributed systems for performance cost efficiency and extensibility
- Contribute to our GenAI-accelerated development practices from spec-driven development to autonomous testing tools
- Collaborate with scientists product managers and partner teams to translate complex measurement problems into elegant engineering solutions
- Navigate ambiguity and make sound technical decisions with incomplete information

About the team
Were part of Measurement and Data Science (MADS) the scientific and engineering center of excellence for campaign measurement across Amazon Advertising. Our charter is Benchmarking and Brand Metrics: we compute peer comparison insights across millions of brands worldwide and deliver them through real-time APIs batch pipelines and AI agent integrations. Were collaborative technically ambitious and value sustainable engineering.

- 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 big data technologies such as AWS Hadoop Spark Pig Hive Lucene/SOLR or Storm/Samza experience

- 4 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- 4 years of contributing to new and current systems architecture and design (architecture design patterns reliability and scaling) experience
- Experience with big data platforms like Apache Spark and Hadoop

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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 NY New York - 158100.00 - 213800.00 USD annually