Software Dev Engineer II, Measurement, Ad Tech, and Data Science (MADS)

Application deadline: Mar 4, 2026

Are you passionate about operating at internet scale? Do you want to work at the intersection of machine learning, data science, and causal inference? Are you eager to invent, grow, and learn alongside world-class engineers and scientists? If so, we want to hear from you!

Key job responsibilities

You will design and develop software products that deliver measurement data to a diverse set of users across Amazon's entire advertising suite. You'll demonstrate expertise in various architectural approaches and design patterns, with proven competence in building maintainable and scalable software using high-level languages. Collaborating with Data & Applied Scientists, Economists, and senior technical leaders who are advancing measurement science and causal inference, you'll adapt to evolving technical environments and devise creative solutions to complex software challenges. You'll tackle some of the most demanding and inspiring technical problems of your career—building petabyte-scale services, inventing new big data paradigms, and architecting for exponential growth.

A day in the life

We measure advertising effectiveness through sophisticated causal measurement and modeling techniques, including rigorous scientific experiments and machine learning. Our mission is to enable advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable, and timely causal measurement across all Amazon ad products. We combine deterministic and modeled measurement techniques to produce estimates that are fast, precise, and actionable. Using AWS big data and machine learning technologies, we process over 50 billion new events daily, operating petabyte-scale clusters. We continuously innovate on our event-driven architectures to stay ahead of rapidly growing 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.

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
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

- 3+ 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.