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Google Jobs in India Apply Online 2020

Google Jobs in India Apply Online How to get Job in Google? Let’s explore Google Jobs/ Google Careers for India Location for Various Posts. Google keeps posting for Jobs at its Google Careers page. In this article, we will give the latest information about Google Jobs in India, Google Careers, and How to Get Job in Google. Lets Start.

Mainly there are Nine Teams in Google whose functions and Jobs are given below

✅ Google Jobs in India Apply Links

S.N. Team Name Main Role Jobs Link
1 Engineering & Technology Develop the products and tools of the future Jobs
2 Sales, Service & Support Equip businesses with the right tools to help them grow. Jobs
3 Marketing & Communications Connect users to the product magic Jobs
4 Design Create beautiful and intuitive experiences Jobs
5 Business Strategy Deliver the analysis and insights we use to innovate Jobs
6 Finance Design and manage solutions to support our global business Jobs
7 Legal Shape the future of internet policy and law Jobs
8 People Find, grow, and support the people who make Google great Jobs
9 Facilities Reimagine what it means to be at work Jobs

✅ Google Jobs in India (Location Wise)

S.N. Location Jobs Link
1 Gurugram/ Gurgaon Google Jobs in Gurgaon
2 Mumbai Google Jobs in Mumbai
3 Hyderabad Google Jobs in Hyderabad
4 Banglore Google Jobs in  Banglore

✅ Let’s Understand the Recruitment Process of Google (Google Jobs in India)

The Recruitment Process of Google consists of mainly three Steps:-

  • Apply
  • Interview
  • Decide

So, let’s go through these steps

✅ Apply (Google Jobs in India)

The things to keep in mind before you apply

  1. Find Your Match:- Match Your Skills and Interests to Job you are Applying
  2. The focus on Resume:- This is the first piece of information Google will see about you, so highlight your achievements. Here’s how to frame them:
    • Align your skills and experience with the job description.
    • Be specific about projects you’ve worked on or managed. What was the outcome? How did you measure success?
    • If you’ve had a leadership role, tell Google about it. How big was the team? What was the scope of your work?
    • If you’re a recent university graduate or have limited work experience, include school-related projects or coursework that demonstrate relevant skills and knowledge.
    • Keep it short: If there’s additional information (like a portfolio) Google needs during the hiring process, your recruiter will work with you to collect it.
  3. How Google Will Review Your Job Application:- The qualifications listed in the job description are there to help you select the role that best fits your background and aspirations, so pay close attention—recruiters review applications with these in mind. Applications are read by real humans who are both experts in interpreting resumes and familiar with our jobs—not just the one you applied for. This allows recruiters to route candidates across the entire company. If there’s no current match available, they’ll make a note to follow up with you about future opportunities.If Google finds a potential match, they’ll schedule a call to learn more about your skills and experience. Bring your questions—this is your opportunity to learn more about the role and Google’s chance to hear more about you.

✅ Interview (Google Jobs in India)

Phone/ Hangout Interviews

During phone or Google Hangout interviews, you’ll speak with a potential peer or manager.

For software engineering roles, your phone/Hangout discussion will last between 30 and 60 minutes. When answering coding questions, you’ll talk through your thought process while writing code in a Google Doc that you’ll share with your interviewer. We recommend using a hands-free headset or speakerphone so you can type freely.

Your phone interview will cover data structures and algorithms. Be prepared to write around 20-30 lines of code in your strongest language. Approach all scripting as a coding exercise — this should be clean, rich, robust code:

  1. You will be asked an open-ended question. Ask clarifying questions, devise requirements.
  2. You will be asked to explain it in an algorithm.
  3. Convert it to workable code. (Hint: Don’t worry about getting it perfect because time is limited. Write what comes but then refine it later. Also, make sure you consider corner cases and edge cases, production-ready.)
  4. Optimize the code, follow it with test cases, and find any bugs.

For all other roles, your phone/Hangout discussion will last between 30 and 45 minutes. Be prepared for behavioral, hypothetical, or case-based questions that cover your role-related knowledge.

Onsite Interviews

You’ll usually meet with four Googlers—some potential teammates and some cross-functional—for about 30 to 45 minutes each.

All candidates will have the chance to highlight strengths in four different areas:

  • General cognitive ability: Google ask open-ended questions to learn how you approach and solve problems. And there’s no one right answer—your ability to explain your thought process and how you use data to inform decisions is what’s most important.
  • Leadership: Be prepared to discuss how you have used your communication and decision-making skills to mobilize others. This might be by stepping up to a leadership role at work or with an organization, or by helping a team succeed even when you weren’t officially the leader.
  • Role-related knowledge: Google is interested in how your individual strengths combine with your experience to drive impact. They don’t just look for how you can contribute today, but how you can grow into different roles—including ones that haven’t even been invented yet.
  • Googleyness: Share how you work individually and on a team, how you help others, how you navigate ambiguity, and how you push yourself to grow outside of your comfort zone.

For software engineering candidates, Google wants to understand your coding skills and technical areas of expertise, including tools or programming languages and general knowledge on topics like data structures and algorithms. There’s generally some back and forth in these discussions, just like there is on the job because they like to push each other’s thinking and learn about different approaches. So be prepared to talk through your solutions in depth. Push your own boundaries and find the best answer—that’s probably how you work anyway.

Technical onsite interviews at Google were historically conducted on whiteboards, but to provide a more authentic coding experience that’s less time-consuming, Google has started to offer laptops for coding interviews in some sites. These Chromebooks have an interview app that lets you choose a coding language of your preference.

Throughout the interview process, feel free to ask your interviewers for clarification to make sure you fully understand their questions. And feel free to interview Google, too. Ask questions—about the work, about the team, about the culture—that will help you decide whether the job will be right for you.

✅ How to Prepare for Google Interview (Google Jobs in India)

Interviews for All Roles

Here’s Google’s advice to help you be ready for your interview.

  • Predict the future: You can anticipate 90% of the interview questions you’re going to get. “Why do you want this job?” “What’s a tough problem you’ve solved?” If you can’t think of any, Google “most common interview questions.” Write down the top 20 questions you think you’ll get.
  • Plan: For every question on your list, write down your answer. That will help them stick in your brain, which is important because you want your answers to be automatic.
  • Have a backup plan: Actually, for every question, write down THREE answers. Why three? You need to have a different, equally good answer to every question because the first interviewer might not like your story. You want the next interviewer to hear a different story and become your advocate.
  • Explain: Google wants to understand how you think, so explain your thought process and decision making throughout the interview. Remember Google is not only evaluating your technical ability but also how you approach problems and try to solve them. Explicitly state and check assumptions with your interviewer to ensure they are reasonable.
  • Be data-driven: Every question should be answered with a story that demonstrates you can do what you’re being asked about. “How do you lead?” should be answered with “I’m a collaborative/decisive/whatever leader. Let me tell you about the time I … ”
  • Clarify: Many of the questions will be deliberately open-ended to provide insight into what categories and information you value within the technological puzzle. Google is looking to see how you engage with the problem and your primary method for solving it. Be sure to talk through your thought process and feel free to ask specific questions if you need clarification.
  • Improve: Think about ways to improve the solution you present. It’s worthwhile to think out loud about your initial thoughts to a question. In many cases, your first answer may need some refining and further explanation. If necessary, start with the brute force solution and improve on it — just let the interviewer know that’s what you’re doing and why.
  • Practice: Everyone gets better with practice. Practice your interview answers—out loud—until you can tell each story clearly and concisely.

✅ Interviews for Software Engineers and Technical Roles

  • Coding practice: You can find sample coding questions on sites like CodeLab, Quora, and Stack Overflow. The book “Cracking the Coding Interview” is also a good resource. In some sites, you’ll have the option to code on either a Chromebook or a whiteboard, to offer a more natural coding environment. (Ask your recruiter what’s available so you can practice.) Be sure to test your code and ensure it’s easily readable without bugs. Don’t stress about small syntactical errors like which substring to use for a given method (e.g. start, end or start, length) — just pick one and let your interviewer know.
  • Coding: You should know at least one programming language really well, preferably C++, Java, Python, Go, or C. You will be expected to know APIs, Object Orientated Design and Programming, how to test your code, as well as come up with corner cases and edge cases for code. Note that we focus on conceptual understanding rather than memorization.
  • Algorithms: Approach the problem with both bottom-up and top-down algorithms. You will be expected to know the complexity of an algorithm and how you can improve/change it. Algorithms that are used to solve Google problems include sorting (plus searching and binary search), divide-and-conquer, dynamic programming/memoization, greediness, recursion, or algorithms linked to a specific data structure. Know Big-O notations (e.g. run time) and be ready to discuss complex algorithms like Dijkstra and A*. Google recommends discussing or outlining the algorithm you have in mind before writing code.
  • Sorting: Be familiar with common sorting functions and on what kind of input data they’re efficient on or not. Think about efficiency means in terms of runtime and space used. For example, in exceptional cases, insertion-sort or radix-sort is much better than the generic QuickSort/MergeSort/HeapSort answers.
  • Data Structures: You should study up on as many data structures as possible. Data structures most frequently used are arrays, linked lists, stacks, queues, hash-sets, hash-maps, hash-tables, dictionary, trees and binary trees, heaps, and graphs. You should know the data structure inside out, and what algorithms tend to go along with each data structure.
  • Mathematics: Some interviewers ask basic discrete math questions. This is more prevalent at Google than at other companies because counting problems, probability problems, and other Discrete Math 101 situations surround us. Spend some time before the interview refreshing your memory on (or teaching yourself) the essentials of elementary probability theory and combinatorics. You should be familiar with n-choose-k problems and their ilk.
  • Graphs: Consider if a problem can be applied with graph algorithms like distance, search, connectivity, cycle-detection, etc. There are three basic ways to represent a graph in memory (objects and pointers, matrix, and adjacency list) — familiarize yourself with each representation and its pros and cons. You should know the basic graph traversal algorithms, breadth-first search, and depth-first search. Know their computational complexity, their tradeoffs, and how to implement them in real code.
  • Recursion: Many coding problems involve thinking recursively and potentially coding a recursive solution. Use recursion to find more elegant solutions to problems that can be solved iteratively.

✅ Final Decision

Committee and Executive Review

After your interviews are done, independent hiring committees made up of Googlers at various levels of the company review your candidate packet, which includes your interview feedback and scores, your resume, references, and any work samples you submitted. Hiring committees help make sure Google’s holding true to their hiring standards as they grow.

If a committee recommends hiring, the panel’s feedback is added to the candidate packet and sent to a senior leader—who provides another layer of objectivity—for review.


Google has a unique hiring process which can take several weeks. They strive to keep you updated but don’t hesitate to reach out to your recruiter if you have any questions.

Once a senior leader approves your candidacy, your packet (with a summary about you) goes to executive review for final approval. And then you get your offer.

In most organizations, you join and still have to prove yourself. At Google, we’ve all gone through the same hiring process and know they can trust each other and new team members from day one.

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