Are you passionate about Big Data, Distributed systems, and large scale datasets can be integrated with new state-of-the-art AI agent-friendly data interfaces? Be part of a team of world-class engineers and industry leading experts building our charter and regularly featuring our innovations at Amazon Ad's unBoxed flagship conference.
Our larger Measurement and Data Science team delivers campaign measurement and reporting across Amazon Advertising business and serves as the scientific center of excellence for algorithm development in campaign measurement. Our individual team focuses on Benchmarking metrics and producing Brand metrics to inform advertisers on what good look like. Our measurement and engineering 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. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action.
Key job responsibilities
Join our team and take ownership of significant initiatives that solve some of the toughest technical challenges:
- Design new, scalable, secure, and reliable features that drive real-time data solutions.
- Define requirements, create software designs, implement code to these specifications
- Provide thorough unit and integration testing, and support products while deployed and used by our stakeholders
- Propose innovative tools, frameworks, automations and processes that are used by the entire services team for development.
- Deep-dive into client or server systems to optimize for performance, maintainability, scalability, extensibility as needed.
- Collaborate with other engineers on the team, product managers, technical program managers, and partner teams.
- Build monitoring, alerting, and data quality frameworks to ensure reliability at scale
- Dealing with ambiguity when solving problems
Our systems are built for stability and reliability, which means our on-call shifts are manageable and focused more on continuous improvement rather than firefighting.
About the team
We're a collaborative team of engineers who are passionate about solving complex data challenges while maintaining a healthy work-life balance. Our engineers regularly work with latest technologies—recent projects include migrating our data lake to Apache Iceberg, implementing real-time streaming pipelines with Spark, and building unified and flexible reporting solutions, and even new UX experiences. We invest heavily in your growth through mentorship programs, technical design reviews, and opportunities to present at internal tech talks. We believe in sustainable engineering practices with reasonable on-call rotations.
