Amazon Science

Overview

Amazon Science publishes the engineering behind Amazon retail, AWS, and Alexa, with a culture famously obsessed with operational excellence and writing things down. The blog is strongest on three topics: production search ranking that has evolved from inverted-index lookups into learning-to-rank-and-retrieve over a billion-product catalog, real-time fraud and abuse detection on streams of clicks and orders, and a decade of operational lessons running storage systems at AWS scale. The single highest-value article for interview prep is 'Lessons learned from 10 years of DynamoDB' — it is the canonical reference for partition design, hot-key mitigation, and availability versus consistency tradeoffs that show up in nearly every NoSQL system-design question.

Interview questions

• What can I learn from Amazon's engineering blog?
• Why is the DynamoDB 10-year lessons article a must-read?
• Which Amazon Science posts map to recommendation and ranking interviews?

More Engineering Blogs topics

• Airbnb Engineering
• Atlassian Engineering
• Booking.com Engineering
• Canva Engineering
• Coinbase Engineering
• Discord Engineering
• DoorDash Engineering
• Dropbox Engineering
• eBay Engineering
• Figma Engineering
• Flipkart Engineering
• GitHub Engineering