Interviewing at Google was an intense but insightful experience. The process was structured yet open-ended, designed to evaluate both problem-solving skills and technical depth.

The initial recruiter call was straightforward—mostly discussing my background, interests, and what to expect in the process. Then came the technical screens. These were classic algorithm and data structure problems, but the bar for efficiency and clarity was high. The interviewers were helpful but expected strong problem-solving, clear communication, and an ability to optimize solutions.

The onsite (virtual in my case) was a deep dive—multiple rounds covering coding, system design (for more experienced roles), and behavioral questions. The coding interviews were tough but fair, with an emphasis on writing clean, correct, and optimal code while explaining thought processes. The behavioral round focused on collaboration, decision-making, and handling ambiguity, all through the lens of Google's leadership and problem-solving values.

Overall, the experience was rigorous but also a great learning opportunity. The biggest challenge was not just solving problems but doing so efficiently under time constraints while articulating my thought process clearly.

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