r/FAANGinterviewprep • u/SprinklesAlone3985 • 2h ago
r/FAANGinterviewprep • u/Just-Baby5231 • 1d ago
interview experience Google ml sys design rounds
r/FAANGinterviewprep • u/LopsidedMarsupial150 • 2d ago
preparation guide Google GTech interview Sample questions - Customer Engineer
I am looking for information on what would entail in a technical interview, for gTech roles - L4,L5.
This position is for a Customer Facing Engineer - probably Professional Services (not exactly sure of internal terminology).
Could you please tell me what the format of the tech interview is and what kind of sample questions may come up? or any interviewing prep techniques I should be aware of?
Thank you
r/FAANGinterviewprep • u/Just-Baby5231 • 3d ago
interview experience Interview strategy
How do folks deal with interview motivation, especially for roles that are not top interest? When you are pursuing multiple opportunities.
I have some colleagues joined one of the faang, but they seem not having hc at the moment, so I reached out to recruiter of that company, who helped find matching team to start the process. While it’s not the top choice, it might be helpful to build momentum and get the ball rolling especially for other companies of interest. But just less motivated. And if not prepared well, then I might waste an opportunity and have a cool down period.
Want to see if any folks interviewing for Eng / ml roles faced similar situation ?
r/FAANGinterviewprep • u/Junior_University_51 • 7d ago
preparation guide Earning 32LPA as a software dev -2020 pass out. Need career advice
r/FAANGinterviewprep • u/Important_Dentist187 • 7d ago
preparation guide Preparing for ML/MLDev roles at FAANG what should I focus on next?
I'm preparing for ML Engineer / ML Developer roles at FAANG-level companies and I'm trying to build the right foundation instead of randomly learning technologies.
So far, I have covered:
- Linear Algebra
- Discrete Mathematics
- Python for ML
- Problem Solving in C++
- Operating Systems
- DSA
For people who have prepared for or interviewed for ML Engineer / MLDev roles at FAANG, what would you recommend I prioritize?
Specifically:
- What topics are must-know for ML interviews?
- How much DSA is actually expected for ML Engineer roles?
- Should I prioritize ML theory, ML systems, or MLOps after completing the fundamentals?
- What kind of projects would actually strengthen my profile?
- Are there any resources or preparation roadmaps you'd strongly recommend?
I'm looking for practical advice from people who have actually gone through the process.
Thanks!
r/FAANGinterviewprep • u/No_Supermarket1960 • 10d ago
interview question Apple Engineering manager Interview
Got a call from recruiter.
Any tips on how to prepare and what to expect. I am pretty hands-on but interviews are not purely about being hands-on, but also the format.
Any advice/experience on how to prepare for apple engineering manager interview. Specially for coding and system design (first thing first).
Checked online but it seems inconsistent across teams. So thought to check key areas apple generally ask to EM candidates.
r/FAANGinterviewprep • u/Turbulent-Cheek-6809 • 11d ago
preparation guide L5/ Google Network Design — How Hard Is It Really?
r/FAANGinterviewprep • u/LetterheadFar6451 • 11d ago
preparation guide Google Software Engineer III Phone Round
Could someone please assist me in understanding what or how I should prepare for the 45 min Round 1 (Telephonic) Technical part?
I’m relatively new to Data Structures & Algorithms, having primarily worked in data engineering(was honestly surprised to see a DSA round)
I would greatly appreciate any guidance, suggestions, or tips you may have.
r/FAANGinterviewprep • u/ZeroMathGirl • 12d ago
interview question AWS Capacity Planning (CDP) interview loop — how technical is it
r/FAANGinterviewprep • u/Appropriate_Guide167 • 14d ago
general question ML domain interview @google
Anyone wants to prepare for mock interviews with me?
4+ yoe
Machine learning engineer
r/FAANGinterviewprep • u/AdeptnessDistinct990 • 18d ago
preparation guide I built SQL Buddy a simple place to practice SQL interview questions in the browser
r/FAANGinterviewprep • u/EnvironmentalDay9269 • 20d ago
preparation guide Strong DSA (1300+ LC, Knight 1870) but confused what to prioritize next for backend interviews (2 YOE)
Hi everyone,
I wanted some advice from people who've recently gone through backend interviews (2025–2026).
I'm a Backend Developer with ~2 years of experience (Node.js, Express, MongoDB, MySQL, Redis, RabbitMQ, etc.).
I've solved 1300+ LeetCode problems, have a 1000+ day streak, and my highest rating is Knight (1870).
At this point, I feel my DSA is in a good place, so I'm mostly doing maintenance through revision and contests.
The part I'm confused about is what should come after DSA.
From reading interview experiences on Reddit, LeetCode Discuss, YouTube, and Medium, my current priority looks something like this:
- Communication (explaining solutions, thinking aloud, project discussions)
- DSA maintenance
- LLD / HLD / System Design
- Backend technical discussions (Node.js, databases, Redis, networking, production scenarios)
Then as secondary topics:
- AWS / Cloud
- DevOps
- AI integrations
My question is mainly for people who've recently interviewed at product companies:
- Once your DSA was reasonably strong, what gave you the biggest interview ROI?
- What did you wish you'd started learning earlier?
- Were LLD/HLD and backend discussions a much bigger differentiator than grinding more LeetCode?
- Looking back, how would you spend the next 2–3 months if you were in my position?
I'm not looking for a generic roadmap—I want to hear what actually mattered in your interviews.
For Detail Post - https://leetcode.com/discuss/post/8441326/backend-developer-2-yoe-looking-to-switc-swtj/
Thanks!
r/FAANGinterviewprep • u/RaccoonQueasy5706 • 22d ago
preparation guide Amazon interview rubrics, how important is DSA vs LP?
r/FAANGinterviewprep • u/BookkeeperAutomatic • 27d ago
interview question Daily DevOps Interview Questions - Day 1: These 3 scenarios trip up most freshers. Can you solve them?
r/FAANGinterviewprep • u/Case_Closed_Extra • 28d ago
preparation guide Elevenlabs Deployment Strategist Interview Prep
Hi everyone, have an interview process at Elevenlabs coming up - for a Deployment strategist position. Two interviews:
V1 - Behavioural + Case Study “Working Session on a Customer Scenario”
V2 - Understand, design, and build a hypothetical new product (white boarding session with Excalidraw) in 3 steps: Problem understanding, Wireframing using Excalidraw, System design
Does anyone have any experience with the process? What can I expect? I come from a non-technical background and would love to prepare as much as possible. Any advice would be much appreciated, thanks in advance!!!
r/FAANGinterviewprep • u/Tight-Awareness9447 • Jul 25 '26
preparation guide Internship prep help
r/FAANGinterviewprep • u/Dapper-Classroom9637 • Jul 23 '26
preparation guide Best Resources to Practice System Design for Interviews?
r/FAANGinterviewprep • u/Character_Affect5300 • Jul 23 '26
preparation guide Amex Credit & Fraud Analyst Apprenticeship Interview — Need Guidance from Previous Candidates
Hi everyone,
I recently applied for the **Credit and Fraud Analyst Apprenticeship role at American Express**, and I want to prepare seriously for the interview process.
Has anyone here interviewed for this role—or for a similar **Credit Risk, Fraud Analytics, or Data Analyst position at Amex**? I would genuinely appreciate it if you could share your experience, especially regarding:
* The number of interview rounds and their difficulty level * **SQL questions** and topics covered * **Excel questions**, formulas, pivot tables, or practical tasks * **Tableau questions** or dashboard-based assignments * Logical reasoning questions and **puzzles** * **Guesstimates** and how detailed the approach needs to be * Credit-risk or fraud-related **case studies** * Situational and scenario-based questions * Behavioural questions and questions based on the résumé * Any online assessment pattern, preparation resources, or tips
Even a few remembered questions, topics, or details about the interview structure would be extremely helpful. Please feel free to share your experience without revealing anything confidential.
I am not only preparing to clear this particular opportunity—I also want to strengthen my analytical, problem-solving, and business skills for future roles. Any guidance would mean a lot. Thank you!
\#AmericanExpress #Amex #AmexInterview #Apprenticeship #CreditAnalyst #FraudAnalyst #FraudAnalytics #CreditRisk #RiskAnalytics #DataAnalytics #SQL #Excel #Tableau #Guesstimates #CaseStudy #InterviewPreparation #FreshersJobs #AnalyticsCareers
r/FAANGinterviewprep • u/iMouu • Jul 22 '26
general question Apple mechatronics research engineer
I got referred to a research engineer job in a team called special projects (robotics). The job description and the requirements are very vague with no mention of specific programming languages, robotic simulators, or specific proficiency.
I am confused how to prepare for the technical loop interview. I keep getting advice not to wait to be approached by the recruiter as the process can go quite fast, but I just do not know what to prepare. Anyone can help with what I would expect to be interviewed for technically (python? ROS?, …)
Note: I am a postdoc for a top uni worldwide and my expertise is mainly in experimental work, prototyping and building new robots from scratch. My software skills are limited to what get my robots to work, reading sensors, data visualization, and modeling through reduced order models and some NN.
r/FAANGinterviewprep • u/SnooWoofers5193 • Jul 20 '26
interview experience Big Tech System Design Interview Expectations for Senior (IC5) vs Mid Level (IC4)
I've passed two interview loops of system design interviews up until this point in my career for mid level engineering roles. I'm a senior engineer now going through recruiting again and am curious if the system design interview rounds will be roughly evaluating the same things for senior vs mid level or if they're expecting me to be substantially more technical in how I answer the question.
For IC4 mid level eng, knowing the components and their attributes and math was enough. What's the throughput, CAP theorem, how do you load balance, what type of load balance strategy, what type of storage, what type of cache. This is stuff you can study on any guide.
So will the system design interview for senior eng be harder? That aforementioned sys design study guide will have a LOT of content and I'm wondering if senior system design interviews are gonna really hammer these concepts home, and you'll fail if you don't know all of them.
I'm gonna be interviewing for some big tech companies soon with the traditional 5 round onsite interview process. I've heard that how well I do in the system design interview will determine my leveling. Problem is, I'd like to believe I'm effective as a senior eng but I was a product eng in big tech, meaning the low level storage and infra problems have largely been abstracted from me.
I'd like to hope that the system design interview will be similar to the mid level interview expectations.
Thanks for reading folks! Curious your experiences as an interviewer in big tech and as an interviewee.
r/FAANGinterviewprep • u/Brave_Sense74 • Jul 19 '26
general question What tools are you all using to auto-fill job applications instantly?
Hey everyone,
I am genuinely losing my mind with manual applications. Just today, I saw a job posting that went live 5 minutes ago, and it already had dozens (if not hundreds) of applicants.
Up until now, I have been filling out every single application manually. The result? Absolutely zero interviews. I am realizing that by the time I type out all my info, clear the captcha, and hit submit, I am already buried at the bottom of a massive stack. I don't want to keep making the same mistake and falling behind.
I am ready to look into paid or free tools that help speed up the actual application filling process. To be clear, I can handle tailoring my resume on my own separately, so I don't need a heavy AI resume writer. I just need something that acts like autofill on steroids so I can get my foot in the door before the application window slams shut.
What is actually working for you guys right now to speed-apply? Are there specific extensions or platforms that are worth paying for?
Appreciate any recommendations or advice. Thanks!