How to Get a Job at Amazon: Application Process, CV Tips, and What They Actually Look For

Amazon is the most process-driven large tech employer in the world. Its hiring methodology is codified, consistent across 1.5 million employees, and almost entirely governed by the 16 Leadership Principles (LPs). You cannot get a job at Amazon — as a software engineer, product manager, operations manager, or finance analyst — without demonstrating these principles in your behavioral interviews. The process is demanding, predictable once you understand it, and learnable.

How Amazon's Hiring Process Works

Stage 1: Online application. Amazon uses its own applicant tracking system. Applications are screened initially by keyword relevance to the job description. Many roles — especially for technical positions — also trigger an automated online assessment within 48 hours of application. Missing this window often disqualifies candidates regardless of their CV quality.

Stage 2: Online assessment. Technical roles typically face a two-part test: coding challenges (LeetCode medium difficulty) and work simulation questions. The work simulation questions are behavioral scenarios mapped to Leadership Principles — you are choosing between responses and rank-ordering options. Both parts matter; Amazon uses the assessment scores to filter before any human review occurs.

Stage 3: Phone screen. A 45-60 minute call with a hiring manager or senior engineer. Expect one or two coding questions (for technical roles) and two to three behavioral questions. The behavioral questions here are the first live test of your LP stories. Interviewers take notes in Amazon's internal system immediately after.

Stage 4: Virtual interview loop ("on-site"). Typically four to five interviews, each 45-60 minutes. Each interviewer is assigned one or two Leadership Principles to assess. One interviewer holds the "Bar Raiser" role — an independent evaluator from outside the hiring team who has veto power over the hire. The Bar Raiser's explicit job is to ensure that every new hire raises the overall bar of the team, not merely meets it. A Bar Raiser veto cannot be overridden by the hiring manager.

Stage 5: Debrief. Interviewers provide hire/no-hire recommendations and written justifications tied to Leadership Principles. The Bar Raiser has final authority to block a hire. Offers typically follow within one to two weeks of the debrief.

Total timeline: three to seven weeks for most roles. Amazon moves faster than Google for mid-level roles.

What Amazon Actually Looks For

The 16 Leadership Principles are not a values statement. They are the literal scoring rubric for every behavioral interview at Amazon. The current 16 are: Customer Obsession, Ownership, Invent and Simplify, Are Right A Lot, Learn and Be Curious, Hire and Develop the Best, Insist on the Highest Standards, Think Big, Bias for Action, Frugality, Earn Trust, Dive Deep, Have Backbone; Disagree and Commit, Deliver Results, Strive to be Earth's Best Employer, Success and Scale Bring Broad Responsibility.

Customer Obsession is the most heavily weighted. Amazon interviewers probe for whether candidates start with the customer's problem, not with their own technical preference or convenience. Your behavioral stories should consistently reference what the customer needed, what the impact on the customer was, and how customer feedback shaped decisions.

Ownership and Deliver Results are the other high-frequency principles. Amazon interviewers are specifically suspicious of candidates who frame achievements collectively without individual ownership. "We built" is less useful than "I drove the decision to build, coordinated with three teams, and shipped within the sprint." Individual accountability within collaborative work is what they want to see.

Dive Deep and Insist on the Highest Standards are tested through increasingly specific follow-up questions. Expect your interviewer to ask for the exact numbers, the precise edge case, the specific technical decision — they are probing whether you actually know your work in detail or are presenting a polished surface.

Have Backbone; Disagree and Commit is the most culturally specific principle. Amazon wants candidates who can articulate a strong professional disagreement, advocate for their position with data, and then commit fully to the final decision even when they lost the argument. Candidates who present as either conflict-avoidant or unable to commit after disagreement both score poorly.

CV Advice Specific to Amazon

Amazon's CV format expectation is strict: one page. This is unusual for a company of its scale, and it is consistently enforced at Amazon. Two-page CVs are not rejected, but one-page CVs are the norm and signal awareness of Amazon's communication philosophy ("Is this the best use of the reader's time?"). Pack your bullets with impact and cut everything that does not directly support your candidacy for this role.

Structure every CV bullet as a Leadership Principle demonstration. This sounds extreme, but it is genuinely useful. "Reduced P99 latency from 800ms to 120ms by redesigning the caching layer" is a Deliver Results + Dive Deep signal. "Proposed and implemented a self-healing monitoring system that reduced on-call pages by 60%, adopted by two adjacent teams" is Ownership + Invent and Simplify + Earn Trust. Amazon recruits and recruiters read CVs through an LP lens.

Quantify everything that can be quantified. Percentages, dollar amounts, user counts, latency figures, uptime improvements — Amazon is a data-driven culture and the absence of numbers reads as an absence of ownership or measurement discipline.

Include your scope. Number of direct reports, team size, budget owned, user base, geographic scope. Amazon uses scope to level candidates. If you are applying to an L6 role, your CV needs to demonstrate L6 scope — ownership of complex, cross-functional work with measurable outcomes.

Common Mistakes Candidates Make

Treating LP preparation as memorization. Candidates who memorize a fixed set of STAR stories and try to force them into whichever LP question comes up often give stiff, mismatched answers that experienced interviewers identify immediately. You need at least 20 to 25 real stories from your work history, each mapped to multiple LPs, so you can draw the most authentic match for each question.

Not preparing for follow-up questions. Amazon interviewers will drill into every claim. If your story includes "we improved customer satisfaction," be prepared to answer what the metric was, how it was measured, what the baseline was, how you know your change caused it, and what happened six months later. The follow-up questions are where most candidates are eliminated.

Misjudging the Bar Raiser. The Bar Raiser is not your adversary. They are an evaluator who is explicitly trying to determine whether you belong at Amazon's standard — not the hiring team's standard. The most important thing to understand is that the Bar Raiser is comparing you to the totality of Amazon hires, not just the people currently on the team. Being good enough for the team is not enough.

Generic "Why Amazon?" answers. Amazon interviewers are skeptical of candidates who cannot explain what specifically attracted them to this team, this business unit, or this product area. Knowing that Amazon is big and has impact is not an answer. Knowing that the AWS Lambda team is working on a specific compute constraint problem you have personal experience with is an answer.

Ignoring the work simulation in the online assessment. Many candidates treat the work simulation as secondary to the coding challenge. The simulation responses are scored and compared against what Amazon has established as LP-aligned behavior. Answers that optimize for short-term convenience over customer impact, or that prioritize speed over accuracy in a quality-sensitive context, score poorly regardless of how those answers read to an individual human observer.

Amazon's process rewards preparation at every stage, starting with your CV. NextCV tailors your CV to the specific Amazon role and Leadership Principles that matter for that position — so your bullets are doing the right work before you write a single interview answer.