My path to Amazon: the final stretch — landing Amazon

June 21, 2025

This is Part 3 of 3 in a series of articles detailing my journey to Amazon. You can read Part 2 here.

Intro

Thank you for making it this far, and traveling up to the final, 3rd part of the article series on my journey to Amazon. This part contains my experience on the actual steps on breaking into FAANG, initial failures, lessons learned, and their applications leading to the final success: a Software Engineering offer from Amazon 🎉.

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Turning the FAANG dream into reality

For many software engineers, landing a job at FAANG (companies like Facebook, Amazon, Apple, Netflix, Google) is the ultimate goal—much like how young athletes dream of making it to the Olympics. I was no different. But I assumed it was nearly impossible to apply directly from Uzbekistan—that you’d need a work permit just to make it through the initial screening, whether for a European or U.S. office.

I was wrong


First Step to Success is Failure

September 2021: I received an email inviting me to interview for a Software Engineering role at Uber Amsterdam office. I got surprised, and found that I had submitted my application a month ago just to try my luck. This came as a surprise for two reasons:

  1. Turned out, it is possible to directly apply to FAANG jobs in Europe while being in Uzbekistan, so investing time in solving LeetCode problems could actually lead to FAANG opportunities—until then, I had used the platform more out of curiosity than with serious interview preparation in mind.

  2. I now had to solve a lot of problems in just a few days before my first interview. 😅

I asked the recruiter for a week to prepare before the first round, which was a Phone Interview. I was able to solve just around 30-40 new problems on LeetCode before the interview. The phone interview was equivalent in difficulty to a hard-level LeetCode problem. While it was certainly challenging, I was able to navigate it successfully.

A few days later, I received an invitation to proceed to the onsite interviews. Onsite interviews consisted of 4 interviews: 1) System Design, 2) Data Structures & Algorithms (DSA) 3) Data Structures & Algorithms (DSA) 4) Behavioral interview.

I performed better than I expected in the DSA rounds, as well as in the behavioral interview. However, I fell short in the system design round—I wasn’t able to arrive at a complete, end-to-end solution to the problem. The reason was clear: I hadn’t done any focused preparation for system design interviews beforehand.

A week later, I received a call from my recruiter with the expected outcome: rejection. What I truly appreciated about Uber’s interview process was the detailed feedback I was given—clear insights into what went wrong and where I needed to improve.

Preparation plan driven by learnings

After an eye-opening experience with my first failed attempt at breaking into FAANG, I felt more motivated than ever—first, because I realized it was possible to be invited to FAANG interviews even while living in Uzbekistan, and that relocation support would be provided if you received an offer; and second, because I now had a clear understanding of what to prepare for and how.

Preparation materials

Preparing for FAANG interviews is an open-ended journey—everyone follows different resources and strategies.
But for me, the following combination proved to be the most effective:

Material Type Target interview Note
NeetCode YouTube channel DSA Best explanations for LeetCode problems that also teaches the thought process
Introduction to Algorithms, Thomas H. Cormen et al. Book DSA Used this daily as a reference for algorithms and deep dives
System Design Primer Github Repo System Design Great for System Design definitions, theorems
System Design Interview, Alex Xu Book System Design Great for classical System Design problems
The Amazon Builder’s Library Online library System Design This is an excellent resource on learning reliable systems, fault tolerance, high availability
Amazon Leadership Principles Online article Behavioral This is the core of Behavioral Interviews at Amazon
Pramp Mock interview platform All 2-3 mock interviews per week to experience the interview pressure

Daily routine

I created a strict daily preparation routine. Back in Autumn 2021 I was working for a UK company, for which my working day started by lunch time in Uzbekistan due to timezone differences. So I structured my daily activities as follows:

  • 08:30 - 12:00: Study DSA / solving & analyzing 2-3 LeetCode problems / Pramp mock interviews
  • 12:00 - 21:00: Working time
  • 21:00 - 22:00: Problem discussions with my brother Laziz *.
  • 22:00 - 00:00: System Design practice / reading / Pramp mock interviews

* By the way, Laziz’s LeetCode YouTube channel was launched during that time. It’s the best resource in Uzbek for learning LeetCode problems, algorithms, and data structures available online and for free.

The Final Stretch: Landing Amazon

The Application

In parallel with my interview preparations, I was actively applying to FAANG opportunities across Europe (while being in Uzbekistan). Having worked extensively with AWS services, earning 2 AWS certifications—and deeply admiring the engineering excellence behind them—one of the most exciting applications I submitted was to AWS in December 2021. I was eager for the chance to contribute to the very technologies that power and delight millions of customers worldwide, including me.

The Interview Process

In February 2022—two months after submitting my application—I received an email invitation for an Online Coding Assessment.

The hiring process for Software Engineering roles at Amazon (as outlined on the official Amazon jobs portal) typically includes several stages, depending on the job level and role type. For my SDE application, on a high level, the process included the following 8 stages spanning 4 months:

  1. December 2021 – Applied via the amazon.jobs portal
  2. January 2022 – Passed CV screening
  3. February 2022 – Passed Online Assessment: Data Structures & Algorithms
  4. March 2022 – Passed Phone Interview: Data Structures & Algorithms
  5. April 2022 – Completed Virtual Onsite Interviews: 4 back-to-back rounds, each 1 hour long — totaling 4 hours of intense interviews in a single session:
    • Data Structures & Algorithms
    • System Design
    • Data Structures & Algorithms (second round)
    • Amazon Leadership Principles (behavioral interview)

Since I had applied for a Software Development Engineer (SDE) position through the AWS GEOFlex program, after passing the Online Assessment and Phone Interview rounds, I received an email asking me to choose my preferred cities to work in from a list of nine AWS locations across Europe. The options included Aachen, Amsterdam, Walldorf, Madrid, Berlin, Cambridge, Dublin, and Gdansk. I chose Berlin—meaning that if I successfully completed the remaining interview rounds and received an offer, I would join the AWS team in that city.

At the end of the final interview, I was quite satisfied with my overall performance. It had been nearly six months of dedicated preparation—three of which were spent intensely preparing while actively going through the Amazon interview process. Now, I was eager to see whether all that effort would pay off


The Result: Offer

Mid-April 2022, I found myself checking my email inbox every 5 to 10 minutes, anxiously waiting for that verdict (offer vs. rejection). Then, right as I refreshed my inbox for what must have been the hundredth time, my phone rang—an incoming call from a number starting with +49... (Germany). The moment I saw the number, I felt a bit of hope—good news usually comes with a call, while rejections tend to arrive as a cold email starting with “Unfortunately
”. Somehow, I found myself tapping the green button—it was my recruiter. After a quick greeting, I heard the words I had been hoping for: “Congratulations, you’ve been accepted. 🎉”.

It was an offer to join Amazon Web Services (AWS) as a Software Development Engineer at their Berlin office in Germany. đŸ€© A few days later, my recruiter sent over the official contract — I signed it ✅, and the relocation process began shortly after.

Relocation to Berlin, Germany

With Amazon’s support, I prepared all the necessary relocation documents, secured my visa, and finally relocated to Berlin, Germany in August 2022.

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Berlin Brandenburg Gate, August 2022

After completing all the remaining paperwork on arrival, my first day Amazon was September 1 — my Day 1 as the Software Engineer at AWS CloudTrail team.

Description

Amazon bottle and notebook, September 2022

Conclusion

That’s how it all happened—from filling notebooks with math problems beside my father at the age of 3 to joining Amazon Web Services in Berlin. It wasn’t an easy path. There were moments of failure and growth. But in the end, it was all worth it.

If someone had told me a few years ago that I’d one day work at AWS, I probably would’ve laughed it off. But step by step, project by project, and failure by failure—I got closer. Don’t fear a failure. Remember that there is no elevator to success, and failure can be just the first step.

To anyone chasing a similar dream: don’t wait for the perfect time or perfect plan. Even if it feels small or uncertain, that first step can take you further than you expect.

Thank you for reading!

With this, I wrap up my 3-part series detailing my journey to Amazon.

Looking forward to sharing more discoveries and journeys with you soon!

Cheers,
Azamat. 👋


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Engineering blog by Azamat Abdullaev.

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