Software Development Engineer, Measurement, Ad Tech, and Data Science

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor'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.

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, CO, Boulder - 168,100.00 - 227,400.00 USD annually
Application deadline: Sep 20, 2026

Build innovative solutions at petabyte scale that empower global advertisers to understand and act on their campaign performance — processing billions of ad impressions, clicks, and conversion events daily using event-driven architectures on AWS. Your work powers the reporting and insights advertisers rely on every day to grow their business on Amazon.

We deliver campaign reporting for all of Amazon Advertising, producing analytics and insights that drive advertiser decision-making worldwide. Our team within Sponsored Products & Brands (SPB) manages large-scale data systems that ingest, process, and deliver performance data across billions of daily transactions. You'll build and optimize data pipelines and services using the latest AWS technologies, collaborate with scientists and product managers, and drive innovation in a fast-growing, collaborative environment with a broad mandate to experiment.

Key job responsibilities
• Design and build scalable systems that process over 50 billion events daily across petabyte-scale clusters for causal advertising measurement
• Develop and optimize causal measurement and modeling techniques — including rigorous scientific experiments and machine learning — to measure advertising effectiveness
• Architect and evolve event-driven architectures using AWS big data and ML technologies to stay ahead of rapidly growing scale
• Combine deterministic and modeled measurement approaches to deliver estimates that are fast, precise, and actionable for advertisers
• Drive technical strategy and lead architecture decisions that shape the future of causal measurement across all Amazon ad products
• Collaborate with world-class scientists and engineers to translate complex measurement challenges into scalable, production-grade solutions
• Set the engineering standard for operational excellence, system reliability, and quality at petabyte scale

About the team
This team builds the core causal measurement and modeling capabilities serving all of Amazon Ads. We work with diverse systems and languages, combining AWS services like EMR and DynamoDB with Spark and Scala. We also leverage generative AI tools to accelerate our development, testing, and deployment cycles.