Amazon QA Engineer Interview Questions

Treat the matrix as an implicit graph where 1s are nodes and adjacent cells form edges (orthogonal connectivity). For each unvisited 1, perform DFS/BFS to explore all connected 1s, counting the component size. Mark cells as visited to ensure each is processed once. Collect component sizes in a result array. DFS is typically preferred for its simplicity and intuitive recursion. The approach ensures efficiency by visiting each cell exactly once, making it optimal for this problem.

I owned a critical feature with a firm deadline. Halfway through, unexpected technical complexity emerged. Rather than hide the issue, I immediately escalated to my manager and stakeholders with data on the gap. I proposed three options: reduce scope, extend the deadline, or add resources. We chose to prioritize core functionality for on-time delivery, shipping the MVP as planned, with remaining features following two weeks later. This transparency prevented surprises and let stakeholders adjust their plans. Afterward, I improved our estimation process with better technical spikes upfront.

At my previous company, I owned improving a critical, under-resourced system (Ownership). When stakeholders blamed external constraints, I prototyped a simpler architecture (Invent and Simplify), validated it with real data (Dive Deep), and delivered an 18% efficiency gain with zero downtime (Deliver Results). The team was skeptical initially, but I earned their trust through transparency and rigor. This experience showed me that Amazon's principles—especially Ownership, Bias for Action, and Frugality—differentiate great teams. I've modeled my approach around them ever since.