Passionate about Big Data and Distributed Systems? Interested in building new state-of-the-art products at Petabyte scale? Be part of a team of industry leading experts that operates one of the largest big data analytics platforms at Amazon. We are responsible for end to end processing of impressions, views, and clicks as well as video interaction events or rich media events in ads. We are applying the latest machine learning and big data technologies available on terabytes of data a day (over 30B new events per day) operating Petabyte size clusters. Our data must always be the fastest, most high fidelity data as it is both billable, critical to checking the heartbeat of a campaign and changes to made to the campaigns while in flight, and part of the measure of success for a campaign.
We are looking for an experienced software engineer that can combine open source technologies such as Hadoop, Hive, Spark and Presto, as well as AWS services like EMR, Redshift, Kinesis and DynamoDB to build the next generation of our Traffic Ingestion and Application platform. You will be responsible for designing and developing software products that will provide measurement and reporting to a wide set of users across all of Amazon's advertising suite across display, search, native, and video on all devices.
Candidates for this position should have strong software engineering fundamentals as well as real-world experience. You will be able to demonstrate a variety of architectural approaches and design patterns and have a demonstrated competence in designing maintainable and scalable software written in a high-level language. You will show your ability to adapt to changing technical environments and devise creative solutions to vexing software problems. Candidates must have the ability to communicate effectively, both in writing and orally, to engineers and executives.
Join the fast growing Amazon Ads business! Amazon is leveraging its highly unique data to change the way marketers purchase, track, measure, and optimize their advertising spend. You will encounter some of the toughest and most inspiring technical challenges of your career as you build petabyte-scale services, invent new big data paradigms, and scale for extreme growth.