As an interviewer I need to be able to challenge candidates to get adequate signal to make an informed selection. My pool is computer science graduates and experienced software engineers. Most candidates fail. I haven't analyzed the distribution but my best guess is that over half of the successful candidates are on work visas.
As someone who was out of work for a large portion of 2025 and attended many interviews, I found interviewing frustrating and failed many. Only after taking a couple of months sitting down and studying fundamentals, grinding leetcode, reading the latest distributed systems literature, and practicing interviewing, I discovered that I genuinely had knowledge and skill gaps. The studying actually helped me become a better engineer. I received several offers after this intensive study period.
The vast majority of candidates for Flipcart and Bytedance simply would never be able to perform adequately. These top companies pay extraordinarily highly compared to most software engineering firms in their countries, far beyond the delta between OpenAI and a typical software engineer in the United States. The quality gradient is still there. Flipcart and Bytedance need to compete internationally, so their salaries are pulled upwards substantially.
By the time a “qualified” candidate is sitting across from you, you have already created a sampling bias simply because the population of India and China are staggering compared to the US. Wow, there are so many eager candidates from India, we must have a labor shortage in the US!