Description
Are you energized by building systems that operate at Internet scale? Passionate about reinventing how ad performance is measured in the online retail world? Eager to grow alongside world-class engineers who push the boundaries of what's possible? If so, we want to hear from you.
We empower advertisers to optimize ad spend and allocate budgets with confidence by delivering accurate, actionable, and timely conversion measurement across all Amazon ad products. Using deterministic techniques, we produce estimates that are the fastest in the industry — without compromising quality. We harness the latest AWS big data technologies to process over 50 billion new events per day across petabyte-scale clusters, and we're constantly inventing new architectures to stay ahead of our ever-growing scale.
This is your opportunity to build the systems behind measurement decisions that directly impact billions in advertising spend — at a pace and scale few teams in the world can match.
Key job responsibilities
- Design, develop, and deliver software that produces measurement data consumed across Amazon's full advertising suite — spanning display, search, native, and video
- Build and maintain petabyte-scale data pipelines and services using technologies like Spark, EMR, and Java, inventing new big data paradigms to keep pace with rapid growth
- Apply a variety of architectural approaches and design patterns to deliver maintainable, scalable, and well-tested solutions in a high-throughput environment
- Navigate complex software challenges with creative problem-solving, adapting to evolving technical requirements and shifting priorities
- Collaborate with cross-functional partners — including scientists, product managers, and engineers across teams — to define requirements and deliver high-quality features end-to-end
- Drive engineering best practices including code reviews, testing strategies, operational excellence (alarms, runbooks, monitoring), and continuous improvement
- Contribute to technical design discussions, identify trade-offs, and propose solutions that balance performance, cost, and long-term maintainability
About the team
The Measurement, AdTech, and Data Science (MADS) team defines and produces the metrics advertisers rely on to analyze the performance of their ad investments. Our charter is focused on the systems responsible for computing and distributing estimated conversions at massive scale. We work across a rich technology stack—combining AWS services like EMR, Kinesis, and AWS Batch with open-source technologies such as Spark and Presto—to deliver fast, reliable measurement at the speed advertisers demand.
We empower advertisers to optimize ad spend and allocate budgets with confidence by delivering accurate, actionable, and timely conversion measurement across all Amazon ad products. Using deterministic techniques, we produce estimates that are the fastest in the industry — without compromising quality. We harness the latest AWS big data technologies to process over 50 billion new events per day across petabyte-scale clusters, and we're constantly inventing new architectures to stay ahead of our ever-growing scale.
This is your opportunity to build the systems behind measurement decisions that directly impact billions in advertising spend — at a pace and scale few teams in the world can match.
Key job responsibilities
- Design, develop, and deliver software that produces measurement data consumed across Amazon's full advertising suite — spanning display, search, native, and video
- Build and maintain petabyte-scale data pipelines and services using technologies like Spark, EMR, and Java, inventing new big data paradigms to keep pace with rapid growth
- Apply a variety of architectural approaches and design patterns to deliver maintainable, scalable, and well-tested solutions in a high-throughput environment
- Navigate complex software challenges with creative problem-solving, adapting to evolving technical requirements and shifting priorities
- Collaborate with cross-functional partners — including scientists, product managers, and engineers across teams — to define requirements and deliver high-quality features end-to-end
- Drive engineering best practices including code reviews, testing strategies, operational excellence (alarms, runbooks, monitoring), and continuous improvement
- Contribute to technical design discussions, identify trade-offs, and propose solutions that balance performance, cost, and long-term maintainability
About the team
The Measurement, AdTech, and Data Science (MADS) team defines and produces the metrics advertisers rely on to analyze the performance of their ad investments. Our charter is focused on the systems responsible for computing and distributing estimated conversions at massive scale. We work across a rich technology stack—combining AWS services like EMR, Kinesis, and AWS Batch with open-source technologies such as Spark and Presto—to deliver fast, reliable measurement at the speed advertisers demand.
Basic Qualifications
- 3+ years of non-internship professional software development experience
Preferred Qualifications
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
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.
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
- 2+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
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.
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 https://amazon.jobs/en/benefits.
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
