The other reason Amazon interviews feel different is that the process is built as a set of linked interviews, not a single pass fail chat. When candidates say “the loop,” they mean the set of interviews that happen close together and roll up into a final decision.
Some parts of Amazon hiring are stated directly on Amazon pages, and we will treat those as official. Leadership Principles are used as the framework for evaluating candidates, and STAR is explicitly recommended as a way to answer. Also, Amazon describes a Bar Raiser as a trained interviewer who usually sits outside the hiring team and helps keep the hiring bar consistent for the long term.
Other parts are commonly reported by candidates and can vary by team, role level, and recruiting partner. A typical shape people report is a recruiter screen, then one or more phone screens, then an interview loop that includes a Bar Raiser, then a debrief where the interview team compares notes and makes a hire decision. Treat this as a planning model, not a promise of exactly how your process will run.
This matters for how we prepare. If every interview is an LP interview, then we need stories that can flex across questions, and we need enough detail that a Bar Raiser can probe without us getting vague or defensive. Next, we will start building Amazon ready STAR answers that hold up under follow ups. First, let’s place the commonly reported loop on a timeline so we can attach preparation steps to each stage:
Amazon behavioral interviews for Forward Deployed Engineers (FDEs) tend to feel different from many other companies because one idea shows up everywhere. Amazon uses Leadership Principles as a shared set of behavior standards, and interviewers use them as the main lens for evaluating your examples.
That means you should expect Leadership Principle themed questions in every conversation, not just a single behavioral round. Your goal is not to recite the principles, but to show real evidence from your own work that matches them.
To structure that evidence, Amazon recommends the STAR method, which is answering with situation, task, action, and result in that order. In this course, we will use STAR to build a bank of stories you can tag to specific Leadership Principles, so you can handle follow ups without making up details.
Consider this situation. You are interviewing for an AWS Forward Deployed Engineer role, and the interviewer asks, “Tell me about a time you had to push back on a customer plan.” A strong answer is not a debate about who was right. It is a clear STAR story that shows what you did, what trade off you managed, and what changed because of your actions.
Amazon has 16 Leadership Principles, and Amazon describes them as part of how it makes decisions, runs projects, and hires. All 16 can come up, but FDE candidates often get pressed hardest on a smaller set because FDE work sits in the middle of customer needs, technical constraints, and delivery pressure.
For this course, we will anchor on five that are commonly probed hard for FDEs, then fill in the other eleven so you are not surprised. The five are Customer Obsession, Ownership, Dive Deep, Have Backbone; Disagree and Commit, and Deliver Results.
A fast way to make these usable is to connect each one to a type of moment you have lived through. Customer Obsession can be the time you changed a plan because a customer would struggle with it. Ownership can be the time you took responsibility for a mess you did not create. Dive Deep can be the time you audited details to find the real cause when the surface story was wrong. Have Backbone; Disagree and Commit can be the time you challenged a decision respectfully, then supported the final call fully. Deliver Results can be the time you landed the outcome under constraints without hiding bad news.
Tag with evidence Pick the Leadership Principle that your actions prove, not the one that sounds nicest.
One common trap is tagging based on your intent instead of your behavior. Admitting you were wrong and changing course often maps better to Are Right, A Lot or Earn Trust than Learn and Be Curious, because the evidence is judgment and honesty, not learning a new topic. Another is claiming Deliver Results when the real strength was Bias for Action, meaning you moved fast on a reversible decision and had a rollback plan.
Now we need a mental map. It should show the five you will practice the most and remind you the other eleven are still in play, so your story bank does not end up lopsided. Let’s map that out: