r/FAANGJobs

Image 1 — I checked how 1,512 people who worked at TCS actually got to Google. Only 176 went directly. Most took three or more companies in between.
Image 2 — I checked how 1,512 people who worked at TCS actually got to Google. Only 176 went directly. Most took three or more companies in between.
Image 3 — I checked how 1,512 people who worked at TCS actually got to Google. Only 176 went directly. Most took three or more companies in between.
Image 4 — I checked how 1,512 people who worked at TCS actually got to Google. Only 176 went directly. Most took three or more companies in between.
▲ 540 r/FAANGJobs+2 crossposts

I checked how 1,512 people who worked at TCS actually got to Google. Only 176 went directly. Most took three or more companies in between.

TL;DR: 88% of them went through at least one other company first, and half of those went through three or more. Amazon is the single most common last stop before Google.

what i did

i work on hiring data. the archive is public job postings going back to 2019, about 1.87 billion of them, plus public professional profiles i can look at across time.

pulled 1,512 people currently at Google who have TCS somewhere in their work history, and looked at what sat between the two. every one of them had dated positions so nothing was guessed.

the number i did not expect

176 people went TCS straight to Google. that is 11.6%. and of those 176, about 12% show a one to two year gap between leaving TCS and starting at Google, which is usually a masters nobody listed. so the real direct number is lower than 11.6%.

where the other 1,336 went first

exactly 1 company in between: 21% exactly 2: 26.1% 3 or more: 52.9%

more than half took at least three stops. the median time from leaving TCS to starting at Google is about 6 years.

the last stop before Google

Amazon and AWS: 133 Microsoft: 58 Oracle: 38 VMware: 20 Cisco: 19 SAP: 17 Qualcomm: 17 Accenture: 16 Intel: 14 Deloitte: 14

Amazon alone is more than Microsoft and Oracle combined. the pattern in that list is the actual finding. the last company before Google is almost always a product company. Accenture and Deloitte are on there but far down, and they are the only services firms in the top ten.

the real transition here is services to product. once someone is at Amazon or Microsoft, Google becomes a normal lateral move, the same as it is for anyone else sitting there.

one thing that surprised me

Amazon was not always the gateway. before 2018 it was about 3% of these paths and the list was fragmented, mostly Microsoft led. from 2019 onward Amazon runs 11 to 13% and leads every year since. this only holds from 2019 onward, and it lines up with Amazon expanding hiring in India.

limitations, and these matter

this is survivor data. i can only see the 1,512 who reached Google. i cannot see the far larger number who went TCS to Amazon and stopped there, which is most people who take that route. so this tells you what the ones who got there did. it does not tell you the odds.

everything is self reported from public profiles, so dates drift and short stints go missing. i also only counted companies that were properly linked as entities, so smaller employers in between are undercounted, which if anything means the real number of intermediate stops is higher than what i found.

and i have not run Amazon or Microsoft yet, so i cannot tell you whether Amazon is genuinely a gateway or just the biggest employer in the pool. that is the next thing to check.

happy to run this for another company if someone wants it. i have the data sitting there and not enough good questions.

u/MostConsideration886 — 19 hours ago
▲ 5 r/FAANGJobs+2 crossposts

Google Maps Interaction Designer- early-career position

Did anyone apply for the Interaction Designer, Google Maps - New York, Mountain View or San Francisco- position? It was an entry-level role, and the opening was removed after two weeks. I was wondering if anyone got hired or is in the process of interviewing. I have tried reaching out to recruiters but still haven't received any reply.

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u/Business_Remote1760 — 10 hours ago
▲ 21 r/FAANGJobs+14 crossposts

Looking for data analyst job as fresher

Title: Looking for Data Analyst Opportunities – Fresher | India
Hi everyone! 👋
I’m a fresher actively looking for Data Analyst / Junior Data Analyst / Business Analyst opportunities in India.
I have hands-on experience with:
📊 Excel
🐍 Python
🗄️ SQL
📈 Power BI
🔍 Data Cleaning & EDA
📉 Data Visualization & Reporting
I’m currently building projects to strengthen my practical analytics skills and would love to start my career in a data-driven organization.
I’m open to full-time, internship, hybrid, or remote opportunities, especially in Delhi NCR / Noida / Gurgaon, but I’m also open to opportunities across India.
If your company is hiring freshers or if you know of any relevant openings, I’d really appreciate a referral or lead. 🙏
Resume: Available on request.
Thank you! Any advice, referral, or opportunity would mean a lot. ❤️

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u/Beautiful_Tower_3133 — 22 hours ago
▲ 266 r/FAANGJobs+36 crossposts

Mid level Data scientist MAANG

i want to prepare for sr data scientist in MAANG companies. My background is in  core ML, deeplearning, nlp etc. 

I plan to target in around a year from now.

Does someone have any idea about the interview preparation or someone in these companies who would like to share some experience?

Interviewprep resource:

PracHub: Company specific interview questions

DataLemur: SQL Interview and Data Science Interview questions

StrataScratch: SQL and Python interview

u/FlatwormAdmirable610 — 2 days ago
▲ 2 r/FAANGJobs+2 crossposts

What is my level?

Hello, I work for a full time witch company last 5 years as lead engineer(senior, architect, staff level positions in different projects in fortune 100 companies) in US. I was work for a startup 2 years before the current one and 3 years in mid size companies in different countries. I lead team for 3 years, after that I worked as only architect, and recently I was piped from biggest telecom companies multi agent ai project as staff ai engineer. So I am pretty much handy at coding and system design. My team management skills are not good imo.

What is my level if I want to apply google, meta, netflix etc? I know my chance to get interview is very low, by any luck, if I got one. L3? L4? L5?
I want to prepare for google and microsoft. I failed at google, meta and amazon before.
Thanks advance

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u/leetcode_knight — 1 day ago
▲ 20 r/FAANGJobs+9 crossposts

3 strong internships. Two PPO dead ends. 1 offer delay. I need an honest reality check.

I’m a 2026 grad, Computer Science & Economics student at BITS Pilani, and I’m honestly a bit stuck right now and could use some advice from people who’ve been through this.

My background is:
Oracle: worked on 15+ SQL pipelines, query-plan/index/join optimisation, Oracle 23ai Vector Search, and an OJET dashboard.
Research thesis in Germany: completed a funded research thesis at Ruhr University Bochum on adversarially robust quantized neural networks, working with PyTorch, CIFAR-10, FGSM/PGD attacks and 2-bit/3-bit quantization.
Morgan Stanley: Worked with the Asia Economics & Rates desk, building an analytics platform and XGBoost based yield-curve forecasting system.

I’ve also built a few projects outside work a limit-order-book/trading simulator with FIFO matching, latency, cancellations, inventory/P&L and ablation analysis, and a RAG personal-finance assistant using embeddings, FAISS and LLM APIs.

The frustrating part is the timing. My Oracle PPO was revoked because of organizational/headcount changes. I then interned at Morgan Stanley, but they told me they can’t give an offer too because of headcount.

I subsequently got another offer in 19 days of my offer revoke at a MNC, but they’re now delaying things as well.

So I’m basically back in the market at the worst possible time, despite having what I think is a reasonably solid profile.

I’m happy to share my resume, GitHub and credentials over DM if anyone wants to take a look. I’d especially appreciate feedback/referrals/leads from people hiring engineers or founders who can tell me where my profile actually fits.

Thanks - genuinely appreciate any advice.

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▲ 6 r/FAANGJobs+5 crossposts

Has anyone heard of or worked at OnePay (backed by Walmart)? (SDE role)

Hey folks,

I received a call from a recruiter for a SDE job oppurtunity at onepay. I haven't heard much about the company, how good is it. Is it growing? And how good it will be for the enginners.

Recruiter reached out for an SDE role at OnePay. I’m completely out of the loop on this company.

Can anyone shed some light on their engineering culture and growth trajectory? Is it a good place for engineers right now? Any major red flags I should be aware of?

Thanks in advance!

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u/chicken101egg — 2 days ago

Google FDE L5 process is a circus

Going through the newer 2026 FDE L5 (Forward Deployed Engineer, GenAI) loop and would like to connect with anyone who is in same position.

Cleared the onsite loop about 3 weeks ago, recruiter said feedback looked positive and submitted it to the FDE leadership for final review.

That team ended up going with another candidate. Recruiter told that your interview feedback is very strong and she would keep my profile active in the pool for 1 year and if something comes up she will forward my packet and told me to sync with her every 4-5 weeks.Also no need of the interviews.

My question is did any one ever got an offer once they are thrown in active pool?

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u/TechnicalBlueberry60 — 6 days ago
▲ 4 r/FAANGJobs+2 crossposts

Regarding applied scientist results

So I gave my applied scientist 1 interviews last week Tuesday , today marks the 5th business day and it’s still under consideration in the portal and I didn’t get any reply back from the recruiter. What are the chances that I got rejected ? What do I do now ?

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u/Fuzzy-Pool2415 — 9 days ago
▲ 3 r/FAANGJobs+2 crossposts

Upcoming Google DCT 3 Interview R1 Questions

Hello everyone,

I have an upcoming Google Data Center Technician III interview, and my first technical round will cover Hardware, Operating Systems/Linux, and Networking.

From what I understand, most of the technical discussion may focus on hardware and Linux/OS, with networking also being covered. I completely understand that people who have interviewed might signed an NDA, but i would be still happy if you could help me or PM..

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u/Own_Cucumber7231 — 7 days ago

Amazon SDE Interview Experience 2026: OA, DSA, LLD, HLD and Bar Raiser

A recruiter contacted me through LinkedIn and shared an Amazon Online Assessment link. I recently completed the entire process and received an offer, so I wanted to share my experience.

Background

  • Current role: Automation Tester at a fintech company
  • Total experience: 5 years
  • Preparation time: Approximately 5 months
  • Previous interviews or mocks: None
  • Verdict: Selected

Online Assessment

I attempted the OA two days after the recruiter contacted me.

Coding Section

The first problem used an AI-integrated repository environment. I had to diagnose and fix an issue in the search functionality of an Amazon movie application.

There were six test cases, and I passed three out of six.

The second problem was a hard DSA question involving a queue and binary search. I do not remember the exact statement, but my solution passed all except one test case.

The remaining sections were:

  • Work Style Assessment
  • Behavioral and Leadership Principles Assessment

Four days later, HR informed me that I had cleared the OA.

Round 1: DSA

Format: In person, pen and paper
Difficulty: Easy to medium

I was asked two problems.

Question 1: Increasing Temperature Alerts

Given a stream of temperature readings, generate an alert whenever five consecutive readings are strictly increasing.

Question 2: Maximum Profit From Advertising Slots

There are n advertising slots and m companies. Each company requests a certain number of slots and offers a fixed amount for every advertisement.

The task was to determine how the available slots should be allocated to maximize the total profit.

This was primarily a greedy problem.

I solved both questions with optimal time complexity and explained my reasoning, edge cases, and complexity.

The final ten minutes were spent discussing Leadership Principles. The interviewer was friendly, and the conversation went smoothly.

This was an elimination round. Three out of eight candidates were eliminated.

Round 2: Low-Level Design

Format: In person, pen and paper

I was asked to design a job scheduling system that could schedule and execute jobs based on:

  • Priority: LOW, MEDIUM, or HIGH
  • Request type: Ad hoc or periodic
  • Execution type: Background or foreground

I designed the main classes and attributes and explained the core scheduling flow. My initial scheduling approach was not fully optimal, so the interviewer reduced the scope and allowed me to explain parts of the design verbally instead of expecting complete production-ready code on paper.

The final ten minutes were again dedicated to Leadership Principles.

This was also an elimination round, and one candidate was eliminated.

Round 3: HLD With the Hiring Manager

The Hiring Manager was unavailable on the interview day, so this round was conducted virtually five days later using Bluescape.

The first 20–25 minutes focused on Leadership Principles and my previous projects.

Design Question: Split Payment and Settlement System

Design a system for group purchases that tracks:

  • Contributions from each participant
  • Participants who have not paid
  • Settlement deadlines
  • Refund distribution
  • Final balances and settlements

I went blank after reading the problem and spent around 15–20 minutes clarifying and understanding the requirements. By the time I started designing, I had only about 15 minutes left.

I managed to draw a basic architecture containing services, routing, and a database, but I could not explore the design deeply or answer several follow-up questions.

HR later told me that the feedback from this round was mixed. I genuinely thought this round had ended my chances.

Round 4: Bar Raiser

Surprisingly, the Bar Raiser was scheduled five days later.

The first 20–25 minutes covered Leadership Principles and a deep dive into my previous experience.

The technical portion involved a medium-hard graph problem based on Dijkstra’s algorithm. I completed it in approximately 20 minutes and explained the time and space complexity.

There were no additional follow-ups, and the interview ended after around 45 minutes.

Preparation

Leadership Principles

I used ChatGPT to help organize and rehearse my real experiences using the STAR format. Leadership Principles appeared to carry significant weight throughout the process.

DSA

I solved approximately 270 LeetCode problems.

Low-Level Design

I used Ashish’s awesome-low-level-design material.

High-Level Design

My main resources were:

  • PracHub
  • ByteByteGo
  • Alex Xu’s System Design Interview
  • Hello Interview’s YouTube videos

I did not prepare Dynamic Programming at all and was fortunate not to encounter it in any round.

This was the first interview of my job-switch journey, and I had not attempted any mock interviews beforehand. Luck definitely played a role, especially in the topics I received, but five months of preparation helped me communicate clearly enough to recover even after a weak HLD round.

My biggest takeaway is that one mixed round may not automatically end the process. Stay composed, treat every remaining round as a fresh opportunity, and prepare your Leadership Principle stories as seriously as your technical topics.

All the best to everyone preparing!

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u/nian2326076 — 8 days ago

Google FDE (GenAI) — team match before HC? Curious about others' timelines

Going through the newer 2026 FDE (Forward Deployed Engineer, GenAI) loop and would love to compare notes with anyone who's been through something similar — it seems more compressed than the classic SWE process.

Quick timeline: cleared the onsite loop about 5 weeks ago, recruiter said feedback looked positive and submitted it to the hiring manager for final review. That team ended up going with another candidate. Recruiter kept me active and set up a team match call with a different director building out an FDE team — covered both a Senior IC path and a TLM path (leading a small team, still IC ladder). That call went well, but it's been quiet since then aside from short "still deciding" replies. Now waiting on a follow-up call.

A few things I'd genuinely appreciate input on if you've been through this:

* Does the FDE loop run team-match-*before*\-HC for you too, or straight to HC after onsite?
* How long after a hiring-manager/team-match call did you actually get a decision, good or bad?
* Has anyone been offered TLM vs Senior IC specifically on an FDE team — how did that get decided/negotiated?
* How long did your interview feedback validity actually hold up in practice before you'd have needed to redo the loop?

Would especially love to hear from anyone in the Google Cloud GenAI FDE org specifically, since it seems to run a bit differently from the standard SWE pipeline. Thanks in advance.

*(YOE: 10 · Target level: FDE-IV / L6)*

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u/No_Minimum415 — 9 days ago
▲ 5 r/FAANGJobs+2 crossposts

Google DeepMind student researcher position 2026 in UK

I am a PhD student in the UK and wish to apply to Deepmind Student Researcher position. However, I have been checking from the past two years, but I have never seen an open position on Google Carrers page for the Student Researcher position in the UK. In contrast to this, I do see some PhD students who are working as a Student Researcher at Deepmind in the UK. Can someone please guide me on where can I find the right application.

Thank you so much for your help :)

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u/Hey_jerry9024 — 9 days ago
▲ 2 r/FAANGJobs+1 crossposts

Google L4 onsite

I have an L4 onsite interview coming up at Google, and I’m very nervous since this will be my first in-person onsite. All of my previous interviews have been virtual.

I’ve been told the onsite will focus mainly on data structures and algorithms. I’d really appreciate any insight into how the process typically works, what level of questions to expect, and how best to prepare.

I’m currently working at another large tech company, but DSA is not my strongest area. I’m also looking for a study partner in the Pacific time zone.

Please help !!!

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u/Zestyclose-Dark-2234 — 14 days ago
▲ 2 r/FAANGJobs+1 crossposts

Anyone been through interviews for AI FDE at Databricks ?

Hi everyone,

Has anyone recently gone through the interview process for the AI Forward Deployed Engineer (FDE) role at Databricks?

I was told the coding round focuses on applied data science and traditional machine learning. I’d love to understand what to expect:

* Is it more like implementing ML algorithms from scratch, or solving practical data problems?
* Should I expect Python, pandas/NumPy, SQL, or standard LeetCode-style questions?
* How much emphasis is placed on statistics, model evaluation, feature engineering, and explaining trade-offs?
* What was the general difficulty and format of the round?

Not looking for specific interview questions just guidance on the topics and style of preparation that would be most useful. Thanks!

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u/Haunting_Ad3263 — 13 days ago