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Job Title


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


Company : Amazon


Location : Toronto, Ontario


Created : 2026-05-08


Job Type : Full Time


Job Description

Description Are you passionate about Big Data and Distributed Systems to build customer trust and grow new business? Interested in building new stateoftheart products at petabyte scale? Global advertisers rely on our team''s performance insights to drive future investment in Amazon''s Advertising Platform and improve the relevance of ads shown to customers. Were looking for strong Software Engineers who can build upon technologies such as Elasticsearch, Spark, Hive and Presto, as well as AWS services like Elastic Map Reduce (EMR), Redshift, Kinesis and DynamoDB to deliver the next generation of our analytics platform. If this sounds interesting, wed love to hear from you! Amazon is investing heavily in building a worldclass advertising business and we are at the forefront of that explosive growth. We deliver campaign reporting for all Amazon Advertising, produce analytics and reporting data that are used by advertisers to grow their business every day. We process billions of ad impressions, clicks, and conversion events daily and we invent and evolve our eventdriven architectures with AWS to manage the large scale of our data growth. As campaign reporting product owners, we are also breaking fresh ground to create worldclass analytics products. We are highly motivated, collaborative and funloving with an entrepreneurial spirit and agile bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The Measurement & Data Science team delivers campaign measurement and reporting across Amazon Advertising, serving as the scientific centre of excellence for algorithm development in campaign measurement. Our platforms and products deliver campaign performance reporting to advertisers. By showing ads on and off our site, we effectively measure the internet with billions of incoming, highly decorated events to process and summarize every day in near real time. Our infrastructure is large scale, requiring invention ahead of common technologies and exceeding PB scale with millions of transactions per second. As an Engineer on this team, you focus on complex, ambiguous problem areas and lead the technical charter of the team in building highly scalable and available systems that can be leveraged by advertising teams in a selfservice manner to power new reporting experiences for Amazons customers. The teams infrastructure currently serves 130 million queries per day, storing more than 750billion records totaling roughly 2PB+ data, managed and operated through a selfservice control plane. This SDE (along with the team) will own big data systems built natively on AWS and is critical for providing transparency for advertisers on the performance of their advertising mission. The SDE will drive efficiencies in engineering and complex architectures to unblock innovation and speed of delivery for the advertising business. The SDE is responsible for being the domain expert and driver for crossorganization projects that deliver delightful performancereporting features for our advertising customers. The SDE owns adprogramagnostic systems that efficiently transform, aggregate and publish views of the reporting data from ad server events to the reporting API while honoring data freshness and availability SLAs. Basic Qualifications 3+ years of noninternship professional software development experience 2+ years of noninternship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 4+ 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 Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and handson SQL coding Experience building highly available, distributed systems of data extraction, ingestion, and processing of large data sets Amazon is an equalopportunity 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 for more information. Benefits The base salary range for this position is listed below. As a total compensation company, Amazons package may include other elements such as signon payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and wellbeing. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually Company Amazon Development Centre Canada ULC Job ID: A10371526 #J-18808-Ljbffr