About Amazon's Hiring Philosophy

Amazon Web Services (AWS) is the cloud arm of Amazon, and the Web Services Solutions Architect Intern role sits at the intersection of technical depth and customer obsession. As an intern Solutions Architect, you are learning to translate customer problems into AWS-based architectures: designing scalable, secure systems, explaining cloud concepts to both technical and non-technical audiences, and reasoning about trade-offs across compute, networking, storage, and databases. The interview reflects this dual identity. Expect to be tested on cloud and CS fundamentals while also being graded against Amazon's Leadership Principles.

The good news from candidates is that this is not a LeetCode gauntlet. The process is built around your real projects, your ability to explain technical concepts clearly, and STAR-format behavioral stories tied to the Leadership Principles. As one applicant put it, the process is "very fair and transparent. No surprises if you are well-prepared" (Solution Architect intern candidate, Paris). Interviewers are generally described as friendly and respectful, and most people interview after applying online.

Quick Stats

* Typical process: 2 to 4 rounds (online assessment plus 1 to 3 interviews), roughly 3 to 6 weeks

* Format: Online assessment, then phone or video interviews (camera not always required)

* Core focus: Cloud fundamentals (AWS, networking, databases), system/architecture design, project deep dives, Leadership Principles

* Difficulty: Moderate (company-wide avg 3.28/5); the technical bar is junior-level but the Dive Deep on your projects and metrics is real

What Amazon Looks For

* Solid grasp of cloud basics: you can explain EC2, DNS/Route 53, networking, and SQL vs NoSQL clearly

* Ability to teach a concept simply (for example, explaining cloud computing to a non-technical person)

* Behavioral answers tightly aligned to the 16 Leadership Principles, with specific quantifiable metrics

* Genuine customer obsession and curiosity to learn new technical concepts and apply them

"If you do a little read-up on various basic cloud terminologies and work on the behavioral, strongly align it with the 16LP. That alone sets you up for success." (Solutions Architect Intern candidate, accepted offer)

Round 1: Online Assessment (~60 to 90 min)

What to Expect

Most candidates start with an online assessment after the resume screen. It typically blends a personality/work-style survey with scenario-based questions specific to a Solutions Architect's job, plus multiple-choice technical questions. The scenarios present a situation an SA would face and ask you to pick the best option, while the MCQs cover networking, computing, AI/ML, databases, and operating systems. Some candidates also report short technical and business-case sections. It is described as "pretty challenging, requires good focus" (Solution Architect intern candidate, Paris), but not designed to trick you.

Example or Reported Questions

* "Situations that a solutions architect would face and you have different options and select the best option."

* "MCQ (Networking, Computing, AI/ML/Databases, OS)."

* "Do you know when to use SQL and when to use NoSQL?"

* "Scenario based questions which can be answered in STAR format."

Tips

* Review core cloud and CS fundamentals before you sit down: networking basics, databases, compute, and OS concepts

* For the work-scenario questions, choose the answer that most reflects customer obsession and ownership, not just the technically clever one

* Use Nora's Standard Mode to rehearse the quick mix of scenario and concept questions so you can move fast and stay focused under time pressure

Round 2: Technical + Behavioral Phone/Video Interview (~45 to 60 min)

What to Expect

The first live interview is a roughly even split of technical and behavioral questions, usually with one or two Solutions Architects. The technical half probes cloud and CS fundamentals and goes deep into the stack you used in your own projects. Expect them to "Dive Deep" into the technical decisions behind your work. The behavioral half uses STAR-format Leadership Principle questions. One candidate noted it was "a mix of 60% behavioral and 40% technical" (Solutions Architect Intern candidate, New York). No LeetCode is involved, but you should be ready to walk through architecture trade-offs and explain concepts simply.

Example or Reported Questions

* "What is AWS and who is a Solutions Architect?"

* "Explain the EC2 component in AWS cloud."

* "How would you architect a 3-tier web app?"

* "Explain what cloud is to a grandmother."

Tips

* Be ready to whiteboard or talk through a 3-tier web app, including DNS, load balancing, security groups, NACLs, and database choices

* Know your own resume cold; they will probe the stack you listed (for example Python, Kafka, Redis, Docker vs Kubernetes) and ask about technical decisions you made

* Practice explaining concepts at two levels (expert and "grandmother") and rehearse the technical deep dive with Nora's Technical Mode to tighten your cloud explanations

Round 3: The Loop / Final Round (~1 to 3 hours total)

What to Expect

The final round is often two interviews back to back (sometimes more), each about an hour, with different Solutions Architects and sometimes the hiring manager. One interview tends to lean purely behavioral on the Leadership Principles, while the other is a deeper technical dive plus behavioral scenarios. The standard Amazon format is roughly 10 minutes of intro, 20 minutes of LP-based behavioral questions, 20 minutes of technical questions, then 10 minutes for your questions. Interviewers want precise, metric-backed STAR stories. As one candidate warned, "they expect juniors to have precise metrics while telling experience for the behavioral interview, so be ready with precise metrics, even on social experience" (Solutions Architect Intern candidate, Paris).

Example or Reported Questions

* "Tell me about a time you failed or didn't meet a deadline. What was your learning?"

* "Tell me about a time you didn't agree with a decision (teammate or manager) and how did you handle it."

* "Describe a situation where you showed Bias for Action."

* "What were the innovative things you built that pushed you out of your comfort zone?"

Tips

* Prepare 6 to 8 STAR stories mapped to different Leadership Principles, each with a quantifiable result, so you can reuse and adapt them across interviewers

* For the technical half, expect harder topics: database sharding, scalability and security in complex architectures, containers vs VMs, and "how do you solve a problem if you don't know the answer"

* Run a full mock of the back-to-back loop in Nora's Behavioral Mode to drill LP stories with crisp metrics, then switch to Technical Mode for the architecture deep dive

Frequently Asked Questions (FAQ)

1) How many rounds are there?

Most candidates go through 2 to 4 stages: an online assessment, then one to three interviews. Some locations compress this into a single one-hour interview covering both technical and Leadership Principle questions, while others run a final "Loop" of two interviews back to back.

2) What topics are most common?

* Cloud and networking fundamentals: AWS, EC2, DNS/Route 53, security groups, NACLs, and architecting a 3-tier web app

* Databases and CS basics (SQL vs NoSQL, indexing, sharding, containers vs VMs) plus Leadership Principle behavioral stories in STAR format

3) How long does the process take?

Typically 3 to 6 weeks. Candidates report fast turnarounds, often hearing back within a couple of days after each step, though some experiences involved a week or more between stages.

4) How should I prepare?

* Read up on core AWS services and basic cloud terminology, and be able to explain each one simply

* Know every technology on your resume deeply, since interviewers Dive Deep into your projects and decisions

* Write 6 to 8 STAR stories aligned to the 16 Leadership Principles, each with precise, quantifiable metrics

* Practice with Nora: use Standard Mode for the assessment-style mix, Technical Mode for cloud and architecture deep dives, and Behavioral Mode to sharpen metric-backed Leadership Principle answers