The interview process was structured, transparent, and challenging. It started with an online application, followed by an initial recruiter screening where basic skills, experience, and role expectations were discussed.

Next came technical rounds — usually two to three online coding interviews through Google Meet. Each round involved solving data structures and algorithm problems on a shared editor while explaining the thought process out loud. For software roles, the questions often focused on problem-solving, system design, and optimization.

If you perform well, you’re invited for on-site (or virtual on-site) interviews, typically consisting of four to five rounds covering coding, system design, and behavioral interviews based on the “Googleyness” criteria — how well you collaborate, take ownership, and approach challenges.

The entire process is highly organized and consistent, with regular communication from the recruiter about next steps. Feedback is usually given within a week or two. Overall, it’s a rigorous but fair process that tests both technical depth and problem-solving mindset.

One of the questions I was asked during the interview was:

“Given an array of integers, find the length of the longest subarray whose sum is equal to zero.”

They expected me to explain my thought process clearly, discuss different approaches (like brute force versus using a hash map for optimized time complexity), and then write clean, efficient code while handling edge cases.