Are you passionate about Big Data and Distributed systems? Do you enjoy building new state-of-the-art products at Petabyte scale? Be part of a team of world-class engineers and industry leading experts operating one of the largest big data platforms for advertising at Amazon scale.

Key job responsibilities
We are seeking an experienced software engineer to build the next generation of systems using open source technologies such as Spark and AWS services like EMR, Kinesis and DynamoDB, SQS Lambda, Fargate. You will have background delivering highly distributed systems at scale, design patterns like SDKs, libraries, versioning, and a strong operational track record working with multiple teams. 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 engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in Ad tech space.

A day in the life
We are responsible for processing all advertising conversion events ( billions of new events per day) such as Purchases, Detail Page Views, Searches across all Amazon products. We provide petabyte-scale, low latency and highly available event look up services to a wide set of users within Amazon Ads. We apply the latest big data technologies available on terabytes of data a day operating Petabyte size clusters. Our data must always be fast, enabling advertisers to optimize ad spend and allocate budgets effectively by providing accurate, actionable and timely performance metrics across all of Amazon’s advertising products.

About the team
Join our fast growing Amazon Ads team! This presents an unique opportunity to take ownership and lead significant initiatives to build innovative solutions to complex and challenging problems. 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.