The Google interview process is known for being rigorous and thorough, designed to evaluate both technical skills and how well a candidate fits into Google's work culture. Here's a high-level overview of the typical process, especially for technical roles like software engineering:

1. Application & Resume Screening What happens: Recruiters review your resume to assess your qualifications and experience.

Tips: Tailor your resume to the job description and highlight measurable achievements, especially those demonstrating problem-solving, coding, or leadership.

1. Recruiter Call (Phone Screen) What to expect: A recruiter contacts you to discuss your background, explain the role, and gauge interest. They may also outline the interview process.

No technical questions typically, but it's a good time to ask questions and align expectations.

1. Technical Phone/Virtual Interviews Usually 1–2 rounds. Duration: 45–60 minutes each. Format: Coding problems (data structures, algorithms) on a shared Google Doc or an online coding platform. Languages: You can typically choose your preferred programming language (commonly C++, Java, Python, or Go). Evaluation criteria: Problem-solving, coding skills, code correctness, and communication.

2. Onsite Interviews (now often virtual) Number of interviews: Usually 4–5 rounds in one day. Types of interviews:

• Coding (2–3 rounds): More algorithm/data structure problems.
• System Design (1 round): For experienced roles, evaluate your ability to design scalable systems.
• Behavioral / Googliness (1 round): Assesses how well you align with Google’s culture — teamwork, leadership, problem-solving approach, ethics, etc.
• Optional domain-specific round (e.g., Machine Learning, Frontend, etc.)

1. Hiring Committee Review What happens: A committee of Googlers, who were not your interviewers, reviews your feedback and scores to ensure a fair, unbiased decision. They consider: Technical ability, role fit, Googliness, and team feedback.

2. Team Matching (for some roles) If approved, you'll be matched with a specific team/project. You may speak with team leads to find a mutual fit.

3. Offer After team match, a compensation package is discussed. Includes base salary, bonus, equity (RSUs), and signing bonus in some cases.

4. Background Check & Onboarding

Given an array of integers, return the indices of the two numbers such that they add up to a specific target.

This is a classic problem, widely known as the Two Sum problem. It's simple on the surface but tests a lot:

• Understanding of data structures (arrays, hash maps)
• Problem-solving efficiency (brute-force vs. optimal solution)
• Code clarity and communication

They might follow up with:

“Can you improve the time complexity?” “What edge cases should we test?” “What if the input were sorted?”

Or, for a system design interview, they might ask:

"How would you design a URL shortening service like bit.ly?"

This tests:

• Scalability
• API design
• Storage choices
• Collision handling
• High availability strategies