Google publishes more about its hiring process than most employers, so you don't need to rely on rumours about "acceptance rates" or salary figures. This guide summarises what Google's official careers pages say, checked in October 2026. It explains the question types you should expect and gives you a practice set with a worked coding example. The practice questions are illustrative. They match the categories Google describes, but they are not questions Google has confirmed it asks.
What Google's careers site says about its process
Google's How we hire page says the process "may differ slightly for each role or team". It typically takes roughly 6–8 weeks once interviews for a role begin, and includes some of these steps:
| Step | What Google says |
|---|---|
| Application | You can apply for up to three jobs within a rolling 30-day window. Cover letters are not required |
| Assessments | You may be asked to take the Google Hiring Assessment, which measures "workstyle skills", plus role-related assessments such as a coding exercise where relevant |
| Recruiter conversations | Typically one or two short phone or video calls covering key skills, the team and your preferences, such as location |
| Project work | Some roles ask for a small project before interviews, such as a case study or writing or code samples |
| Interviews | A panel of interviews over video or in person. "Structured interviewing" with the same rubrics for every candidate for that role, and role-related, open-ended questions |
| Decision and offer | Several perspectives are combined to reach a decision. Your recruiter shares the offer and explains compensation |
Three rules from Google's pages are worth noting:
- No brainteasers. Google says its data showed brainteasers didn't predict job performance, so it stopped asking them years ago.
- No AI during interviews. Google states that AI tools "are not permitted to be used during your interviews."
- Reapplying. If you weren't selected, Google typically asks you to wait at least a year before reapplying for the same type of role. It also notes that most Googlers applied for other roles before they eventually reached interviews.
Keep preparing
Continue with Top 50 Interview Questions₹299 — coaching के एक महीने से काफ़ी सस्ता / far cheaper than a month of coachingThe resume step: Google's X-Y-Z formula
Google suggests describing achievements as "accomplished [X] as measured by [Y], by doing [Z]." It also asks you to tailor your resume to each job and to show clearly that you meet the listed minimum qualifications.
An illustrative rewrite for a campus candidate:
- Before: "Worked on the backend of a college fest app."
- After: "Cut the registration page's load time from about 4 seconds to under 1 second, measured with browser developer tools, by adding database indexes and caching the event list."
Use only numbers you actually measured. Interviewers can and do ask how you got them.
The three question types to prepare for
Google's interview tips page says many questions will be "along the lines of 'Tell me about a time when…' or 'How would you approach this situation…?'" For technical roles, Google's FAQ links to its own coding and system design preparation videos, including mock interviews with Google India engineers.
1. Behavioural ("Tell me about a time when…")
Google suggests using STAR (situation, task, action, result) and preparing "a broad library of examples", because its questions look for specific examples rather than "I always do X." Illustrative practice prompts:
- Tell me about a time you worked with a teammate who disagreed with your approach.
- Describe a project where the requirements were unclear. What did you do first?
- Tell me about a time you helped a team succeed without being the official lead.
2. Hypothetical ("How would you approach…")
These test how you handle ambiguity. Google encourages candidates to ask clarifying questions, state their assumptions, and explain whether they're going "deep instead of broad". Illustrative prompts:
- How would you decide which of three feature requests to build first?
- A key metric drops 20% overnight. How would you investigate?
- How would you get two teams with conflicting priorities to agree on a timeline?
3. Role-related technical questions
For software engineering roles, expect coding problems on data structures and algorithms and, for some roles, system design. Google's own preparation resources cover both. Non-engineering roles get questions tied to that function, so read the preparation notes your recruiter sends.
Worked coding example
Practice question: Given a list of meetings as (start, end) times, decide whether one person can attend all of them.
Step 1: clarify. Ask whether a meeting ending at 10 and another starting at 10 count as a clash. Here, assume they don't. Ask whether the input can be empty. Assume it can.
Step 2: approach. Sort by start time. Then check whether any meeting starts before the previous one ends.
def can_attend_all(meetings: list[tuple[int, int]]) -> bool:
meetings = sorted(meetings)
for (start1, end1), (start2, end2) in zip(meetings, meetings[1:]):
if start2 < end1: # next meeting starts before the previous one ends
return False
return True
assert can_attend_all([(9, 10), (10, 11)]) is True
assert can_attend_all([(9, 11), (10, 12)]) is False
assert can_attend_all([(13, 14), (9, 10)]) is True
assert can_attend_all([]) is True
Step 3: complexity. Sorting takes O(n log n) time. The scan takes O(n). The sorted copy uses O(n) extra space.
Step 4: extend. A typical follow-up is "What is the minimum number of rooms needed?" Talk through tracking end times with a min-heap before you write any code.
Google's tips page says the interviewer "will be looking to see the thought process versus the answer itself", so say each step aloud.
Practice plan: an evidence library
Google's tips page suggests cross-referencing your resume with the job description and building "a library of examples" where they overlap. Here is a template; fill in your own rows.
| Job description requirement | My example (project or job) | Data I can show | Question types it answers |
|---|---|---|---|
| e.g. "Experience with distributed systems" | Final-year project: message queue for campus notifications | Messages per second in my load test | Technical deep dive; "a time you made a trade-off" |
| e.g. "Collaborate across teams" | Internship: coordinated an API change with the mobile team | Release date met; bugs reported | "A time you influenced without authority" |
| e.g. "Comfort with ambiguity" | Hackathon: problem statement changed mid-event | Rank or demo feedback | "How you handle unclear requirements" |
Aim for eight to ten rows. Each example should hold up when the interviewer asks "Why?" two or three times.
Interview-day checklist
- For virtual interviews, Google recommends a quiet space, a reliable connection, a tested microphone and camera, and a notebook and pen.
- Google says it has brought back in-person interviews for some roles. Often the first rounds are virtual, and your recruiter confirms whether any are onsite.
- Prepare questions for your interviewers. Google calls interviewing "a two-way street".
- Expect the decision to take time. Google says it may be several weeks before your recruiter can share an outcome.
For a broader view of big-tech interview preparation, see our FAANG interview preparation guide. For more coding practice, see three worked coding interview answers in Python.
Key takeaways
- Google's process typically runs about 6–8 weeks once interviews start, with structured, rubric-based interviews and no brainteasers.
- You can apply to up to three roles every 30 days, so pick roles where you clearly meet the minimum qualifications.
- Prepare for three question types: behavioural, hypothetical and role-related technical.
- AI tools are not allowed during interviews. Practise thinking aloud on your own.