Amazon Coding Interview

How Amazon's Interview Process Works

Amazon's technical interview pipeline typically follows this structure:

• Online Assessment (OA) — Two coding problems on HackerRank, usually 70 minutes. Often includes a work simulation and logic assessment.
• Phone Screen — 45-minute call on Amazon Chime with one coding problem. Interviewer watches you code in a shared editor.
• Onsite Loop — Four to five 45-minute rounds. Two are coding (data structures and algorithms), one is system design (for senior roles), and one or two focus on Leadership Principles.
• Bar Raiser — One interviewer from outside the hiring team evaluates whether you raise the bar for the role. This is the round that catches most candidates off guard.

Why Amazon Interviews Are Difficult

Amazon's coding questions tend toward medium-to-hard difficulty on LeetCode. Common topics include graphs, dynamic programming, sliding window, and tree traversals. But the real challenge is the Leadership Principles — Amazon expects you to weave LP-based answers into every round, including coding.

The OA stage alone eliminates the majority of candidates. HackerRank's proctoring captures your screen, but Phantom Coder's macOS content protection means the overlay is physically invisible to any screen capture.

How Phantom Coder Helps

• OA on HackerRank — Capture the problem with a hotkey, get the optimal solution with time and space complexity. The overlay is invisible to HackerRank's proctoring.
• Phone screen on Chime — Phantom Coder is invisible to Amazon Chime screen sharing. Get solutions while your interviewer watches your editor.
• Onsite coding rounds — Whether on Chime, Meet, or in-person with a shared screen, the overlay stays hidden from all capture.
• Multiple AI models — Switch between GPT-4o, Claude, Gemini, and DeepSeek depending on the problem type.

Common Amazon Interview Topics

Based on public interview reports, these topics appear most frequently in Amazon coding rounds:

• Trees and graphs (BFS/DFS, shortest path)
• Dynamic programming (knapsack variants, subsequence problems)
• Sliding window and two pointers
• Priority queues and heaps
• String manipulation and parsing
• System design — distributed systems, scalability (L5+)

Phantom Coder handles all of these. Capture the problem, and the AI provides the complete solution with explanation, complexity analysis, and edge cases — in seconds.