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Permanent resident of Canada 🇨🇦 from Japan 🇯🇵, currently spending most of my time in Malawi 🇲🇼 in Africa at the intersection of tech and society. I am a freelance software developer, previously working at a Big Tech & Silicon Valley-based start-up company while wearing different hats such as an …

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Hi, I'm Nikita, Sr. Product Manager - Tech at Amazon. I mentor anyone in tech roles and early stage startups. 🛠️ More about me: - 7 years engineering, and people management in Oil and Gas (B2B SaaS) - 2 years software development management and people leadership at Amazon - 3 …

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Hello! For over 14 years, I've been immersed in the Cyber Security field, honing my skills in Detection Engineering and Incident Response. I'm passionate about helping others crack the code to their dream career. My journey in this ever-evolving field has equipped me with the expertise to guide you through …

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Supercharge your transition into data engineering with Gaurav, a passionate Senior Data Engineer at Amazon. With 10 years of experience, Gaurav excels in designing data platforms, implementing architectures like Data lake, Lakehouse, and Data mesh. Expertise in building cloud-based platforms, data pipelines, and ensuring governance and security. Benefit from Gaurav's …

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In the new world we live in, simply doing our jobs well is not good enough – not anymore. Thinking strategically about your career path, building the right network, having sharp communication and other leadership skills are key in achieving any professional goal. This is what I can help with. …

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I am a senior software engineer with 15 years of experience working at AWS. I have been a founding member of three publicly launched products at AWS. I am passionate about building products iteratively at scale with a high bar on operations. My expertise is building distributed systems, APIs using …

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Prepare for your interview at Amazon

Interview Preparation

Offered by Eric Zhou

As a hiring manager with a decade's experience, I can help you with mock interviews to get you ready with your job search. Read More

 Approx. 60 minutes  $149
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Coding Interview (Security Engineering)

Offered by Aric Gady

None Read More

 Approx. 45 minutes  $100
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Interview Preparation

Offered by Shalauddin Ahamad Shuza

If you want to prepare for any specific interview, please share details about the interview like company, job position, job description. Read More

 Approx. 60 minutes  $149
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Interview Preparation

Offered by Rahul Sagrolikar

I have 13 years of experience as data science manager Read More

 Approx. 60 minutes  $149
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Interview Preparation

Offered by Fangru Wu

I have been conducting interviews for the past six years and mentoring on interviews for the past three years, helping candidates prepare for real-world scenarios. My sessions are usually on … Read More

 Approx. 60 minutes  $149
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Personalized mock interviews

Offered by Sundeep Teki, PhD

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 Approx. 60 minutes  $119
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Further reading about getting hired at Amazon

 

An Overview of the 2024 Amazon Hiring Process

Are you considering a job at Amazon? In that case, get familiar with the 2024 Amazing hiring process today to increase your chances of landing the job.

Read More

 

Dynamo - Amazon’s Highly Available Key-value Store

This post goes over Amazon’s Dynamo paper that was the foundation of today’s various key value stores like Cassandra. This is a very good paper to read to get introduced to various distributed system concepts and to me feels like one of those rare papers that are easy to read and understand.

Read More

 

10 learnings from 10 years at Amazon

This blog post talks about my learnings as a software engineer while working at a fast paced company like Amazon. These were critical to my continuous growth over the last decade.

Read More

Get interview tips from Amazon industry experts

Don't leave getting your dream job to chance. Drastically improve your interview performance with a mentor from Amazon.

Be prepared for interview questions.
Interview questions aren't always fair. The best thing you can do is prepare for them. Get the inside scoop on current interview questions from current Amazon employees.
Hone your technical skills.
Technical interviews often ask for very specific skills. Get help from a Amazon expert to hone your skills and get the job.
Detailed feedback.
Way better than yet another coding exercise. Get detailed feedback on your interview performance from an industry expert.
Real life mock interviews.
Practice makes perfect. Get a real life mock interview with a Amazon expert and get the job.
Affordable rates.
Amazon experts are available at affordable rates. Get the help you need to get the job without breaking the bank.
Continued career coaching services.
Get continued career coaching services from a Amazon employee. Get help as you enter your new job and beyond.

Practice with Amazon interview questions

Get the inside scoop on current Amazon interview questions. Prepare for your interview with a few select questions you might face.

What steps do you take to ensure the accuracy of your work?

To maintain accuracy in my work, I rely on a three-step process that has always served me well. The first step is planning. Before I delve into the task at hand, I plan out my work process, sketch out timelines, and breakdown the task into manageable segments. The second step is execution, where I follow the plan, ensuring that I'm detailed in my work. For example, when working with data, double-checking figures, cross-verifying sources, and correctly documenting everything are all part of this step. The final step is review. No matter how careful I am, human error is inevitable, and a comprehensive review helps to catch these. I go through the work, verify all details again, and if time permits, I leave it aside and review again after a while with a fresh mind. This approach has consistently helped me maintain high accuracy in my work.

Can you give an example of a time when you used data to make a decision?

While working as a Marketing Manager at XYZ Company, I had the opportunity to lead a substantial holiday campaign. We had a range of products to promote, but a limited budget. To optimize our spending, I turned to historical sales data to identify which products consistently attracted the most interest during the holiday season. It was crucial to examine the data thoroughly to understand trends and patterns. Based on the data, we were able to identify the top-selling products and focus our promotional budget on marketing those. Equally as important, we also identified products with lower popularity, helping us avoid wasteful spending. Consequently, our strategic campaign resulted in a significant boost of over 20% in our sales compared to the previous year, reaffirming the impact of data-driven decisions.

Can you tell us about a time when you had to handle a difficult customer? What was the situation and how did you handle it?

At my previous job, I was working as a Customer Service Representative where our primary responsibility was troubleshooting the software issues our customers encountered. I remember an instance where a customer was quite irritated because he'd been dealing with an ongoing issue for several days. This had affected his work, and he was understandably frustrated. I calmly let him express his feelings, after he had done that, I apologized for the inconvenience and reassured him that I was there to help solve his issue. I patiently asked targeted questions to identify the root of his problem. After understanding his issue, I walked him through the steps to fix the problem. It took longer than it usually would, but in the end, he was able to resolve his issue successfully. Not only was he appreciative of the solution but he was also happy with the way I dealt with the situation, staying patient and guiding him through each step. It was a rewarding experience that underscored the importance of empathy and patience in customer service.

How would you handle a disagreement with a team member?

Despite having a well-rounded team in my previous role, there were instances of disagreement. During one project, a colleague and I had a conflicting perspective on the project's direction. I believed in taking a more conservative, well-tread path, while he wanted to experiment with a new approach. When we realized we couldn't agree, we decided to sit down and address the issue directly. We both presented our views, made sure to listen to each other, and brought in the data we had to support our views. We discussed the pros and cons of each approach, considering all potential outcomes. Seeing the benefits and potential in my colleague's ideas made me reassess my stand and agree to try the newer approach. It’s vital to remember disagreements in a team setting aren't necessarily bad; they often lead to better solutions if adequately addressed.

Explain a situation where you implemented a change, but it did not go as planned

While leading the sales team at a previous company, I noticed there were inefficiencies in how the team was managing sales leads. To improve this, I recommended implementing a sophisticated CRM tool. I believed it would streamline the process, improve organization, and ultimately, raise sales numbers.

However, the tool had a steep learning curve, and the team struggled to adopt it. Despite providing training sessions, the team was spending more time learning to navigate the system than actually selling. Moreover, maintaining the CRM turned out to be more resource-intensive than anticipated. As a result, productivity decreased rather than increased in the weeks following the implementation.

Recognizing that the plan wasn't working as intended, I arranged for a team meeting to openly discuss the issues being faced. Based on the team's feedback, we decided to pivot our approach. We opted to continue using the CRM for certain functionalities that worked well, but returned to tried-and-true processes for tasks that were overly complicated by the new tool. As a result, we were able to regain our productivity, while still benefiting from the useful features that the CRM offered. This experience reminded me of the importance of not just considering the technological capabilities of a tool, but also the ease of use and the impact on the team's workflow.

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