Browserstack Interview Experience | Backend Developer
Recently, I got an interview opportunity from BrowserStack for a backend role. The whole process had multiple rounds, starting from an HR call to coding rounds and a system design interview. 
In this blog, I’ll share everything in detail—what they asked, how I prepared, and what I learned.
Round 1: HR Telephonic Call
I got a call from the HR at BrowserStack. She was friendly and started by asking some basic questions about my current situation and background. Here’s what she asked:
Questions:
- 
Why are you currently not working full-time? 
 I explained my recent focus on learning, upskilling, and building side projects.
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What is your tech stack? 
 I shared that I mainly work with Node.js, Express, MySQL, Redis, and sometimes use Socket.io for real-time features.
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Explain your recent project. 
 I talked about my full-stack projects, especially those involving real-time updates and backend APIs.
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Salary Expectations? 
 I gave a range based on market research and my skill level.
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What do you know about BrowserStack? 
 I told her I knew BrowserStack helps developers test websites and apps across browsers and devices.
- 
Then she asked if I had hands-on experience with: - 
Unit testing 
- 
Socket.io 
- 
Computer Networks 
- 
Node.js 
- 
Express 
- 
MySQL 
- 
Redis 
 
- 
After this round, she sent me a link for the online assessment round.
Round 2: Online Assessment
⏱ Duration: 50 minutes
Format: 21 MCQs (Multiple Choice Questions)
The questions were from a wide range of topics:
- 
HTML/CSS 
- 
JavaScript 
- 
Computer Networking 
- 
Operating Systems 
Some questions were basic, while some required deep understanding of OS concepts like processes, file systems, and DNS.
Round 3: Machine Coding Round (Real-Time Log Viewer)
This was the most interesting and challenging round for me. It was a 2.5-hour coding test where I had to build a small real-time web application.
Problem Statement:
I was asked to build a log file watcher, like the tail -f command in UNIX. The log file was on the server, and my job was to show the latest updates on a web page without refreshing it.
Requirements:
- 
Real-time updates: 
 The webpage should show new log lines automatically using WebSockets.
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No refresh: 
 Once the page loads, it should stay updated without reloading.
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Last 10 lines on load: 
 When the user visits the page, show the last 10 lines from the log file.
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Large file support: 
 The log file could be several GBs, so we had to optimize how we read it.
- 
No external tail libraries: 
 We had to manually implement the logic to track file updates.
- 
Multiple clients: 
 The solution had to support multiple users viewing the log file at the same time.
My Approach:
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I used Node.js for the server and Socket.io to push updates to the client. 
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On the server side, I created a file stream that watched for new log entries. 
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For the frontend, I created a page at http://localhost/logthat connects to the server via WebSocket and displays the logs in real-time.
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To get the last 10 lines, I used a buffered reverse read approach to avoid reading the full file. 
Questions After the Round:
After I submitted my code, the interviewer asked me some follow-up questions:
- 
How did you approach this problem? 
- 
How would you make this solution scalable to 100x more users? 
- 
What buffer size did you use and why? 
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What edge cases did you handle? 
- 
How would you deploy and monitor this in production? 
It was a deep technical discussion and helped me think more about performance and scalability.
Round 4: Director of Engineering (Tech + Resume Discussion)
This round was more focused on my experience and system design knowledge.
Topics Discussed:
- 
My past projects and the roles I played in them. 
- 
Deep dive into system design concepts, especially related to real-time systems. 
- 
Questions about designing systems that scale. 
- 
A lot of the conversation was focused on thinking at scale and writing clean, testable, modular code. 
Some Important Interview Questions They Asked:
Here are a few questions that I found challenging and interesting:
- 
If you have a 1 TB file and want to find the word "interview" inside it, how would you do that? 
 (Hint: Efficient file reading, chunking, parallel processing.)
- 
How would you scale any of your projects to support millions of users? 
 (Hint: Load balancing, caching, DB optimization, and horizontal scaling.)
- 
What happens when you open a website in the browser? 
 (Hint: DNS lookup, TCP handshake, HTTP request, response rendering.)
- 
How do browsers and DNS work together? 
These questions tested both my technical understanding and problem-solving skills.
Although I received positive feedback in both the machine coding and Director rounds, the overall decision was not in my favor. A few days later, I received a rejection email from BrowserStack.
