Real, anonymous reports from people who interviewed for Software Engineer at Amazon Services, newest first and distilled into what to expect across the loop.
I had an interview journey that felt more “standard” than sprawling: one recruiter-style start, then a small set of rounds combining behavioral Leadership Principle questions with one or more LeetCode-style coding problems.
I went through a fairly intense Amazon-style loop with multiple rounds, including a bar-raiser, over a timeline that felt like it could move quickly once you cleared the early steps.
The interview process typically begins with a recruiter or HR screening, which involves a brief conversation about the candidate's background, fit for the role, and sometimes salary expectations. This initial step serves as a 'vibe check' to assess alignment with the company's culture.
Candidates usually complete an online assessment that includes coding problems, often LeetCode-style, alongside behavioral questions or cultural fit evaluations. Performance on this assessment is crucial for advancing to the next stages.
The technical interview rounds often consist of coding challenges that require candidates to demonstrate problem-solving skills in real-time, with a focus on data structures and algorithms. Some candidates also face system design or operational questions depending on the role's requirements.
Behavioral interviews are heavily focused on Amazon's Leadership Principles, with candidates expected to provide detailed STAR-format responses that illustrate their past experiences and decision-making processes. This aspect is critical for demonstrating cultural fit.
Many candidates encounter a 'bar raiser' interview, which is designed to ensure that the candidate meets Amazon's high standards. This round typically involves a neutral party assessing both technical and behavioral competencies, particularly in relation to Leadership Principles.
Candidates report variability in the interview process, with some experiencing delays, lack of feedback, or logistical issues that hindered their progress. Clear communication and timely updates are often highlighted as areas for improvement.
