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    • 24 Dec, 2024

    GitHub Staff Software Engineer - Search Interview Questions

    If you're preparing for an interview for the Staff Software Engineer - Search position at GitHub, you’re aiming for a role that is central to the product's functionality. Search is one of the most critical features on GitHub, serving millions of developers around the world to navigate through vast codebases, repositories, and projects. This position will likely involve working on large-scale, high-performance systems, and the role may span areas such as ranking algorithms, search optimization, and distributed systems. Based on my experience interviewing for this role, here's a detailed breakdown of what to expect, including the interview process, the types of questions you may face, and how to approach them.
  • Technology
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    • 13 Dec, 2024

    Google Interview Insights - Questions, Answers, and Strategies

    In the fast-paced and cutthroat realm of technology, Google stands as an unrivaled titan. Renowned far and wide for its revolutionary technologies that constantly reshape our digital landscapes, its dynamic and inclusive work culture that fuels creativity, and its audacious vision that seems to stretch the boundaries of what's possible in the future. What began as a humble search engine experiment by Larry Page and Sergey Brin back in 1998 has, through sheer innovation and strategic expansion, exploded into a global behemoth. Today, it sprawls across the globe, employing a staggering army of over 135,000 brilliant minds and flaunting a market capitalization that soars well past the $1 trillion mark, making it the envy of the industry.
  • Technology
  • Experience
    • 12 Dec, 2024

    ByteDance Backend Software Engineer (Graph Neural Network System), Cloud Infrastructure Intern - 2025 Start Interview Experience Share

    If you're preparing for an interview for the Backend Software Engineer (Graph Neural Network System), Cloud Infrastructure Intern - 2025 Start role at ByteDance, you're applying for a highly technical position that involves working on cutting-edge machine learning algorithms (specifically graph neural networks) and cloud infrastructure. This role combines backend software development, machine learning, and cloud computing to build scalable systems that leverage graph neural networks (GNNs) for real-world applications. Here’s a detailed guide, based on my experience and feedback from candipublishDates who have gone through similar interviews.