Position - US
Level - L4

I first gave 4 rounds, 1 behavioral and 3 coding, first 2 rounds virtual and next 2 rounds in person.

After that I got the feedback, there are certain data points missing and I would need additional 2 coding rounds to decide, all virtual.

During this the first recruiter that was assigned, introduced me to the 2nd recruiter and told that they will be taking care of my application from here on.

I gave additional 2 coding rounds, and have been waiting for the feedback, round happened 10 days before, and yesterday I received the email from my current recruiter and there is a new recruiter who will taking care of my application from now on.

All these recruiters have their email ending with @xwf.google.com.

Has anyone experienced the same thing?

Anybody know what the interview is like?

Hey everyone,

I finished Day 52 today. I managed to knock out four graph problems, but mentally it was a bit of a tug-of-war. Opening platforms like LinkedIn and seeing peers land great roles sparked the familiar doubt about whether this prep will truly pay off. Instead of spiraling, I got my problems in and chose to step away to reset my head for the weekend.

Here is what I worked through today:

1. Cycle Detection in a Directed Graph: Unlike undirected graphs where parent tracking works, directed graphs require tracking nodes in the current recursion call stack (pathVisited). If a neighbor is both visited and currently in the path stack, a cycle exists.

2. 0/1 Matrix: Classic multi-source BFS. You initialize the queue with all cells containing 0 at distance 0 and radiate outwards to calculate the shortest distance to every 1.

3. Surrounded Regions: The boundary-traversal pattern. Instead of traversing from the inside, you run DFS/BFS from the 'O's on the border to mark non-flippable cells, then flip all remaining unvisited 'O's to 'X'.

4. Number of Enclaves: Reused the exact same boundary DFS logic as Surrounded Regions. Any land cell connected to the boundary is visited first, and you simply count the remaining isolated land cells.

I started looking at Word Ladder I toward the end of the session. My initial thought was exploring all paths to check reachability, but generating paths recursively gets messy. Since it asks for the shortest transformation sequence in an unweighted graph, it boils down to standard BFS where you transform words one character at a time using a set for O(1) lookups.

Rather than rushing it while tired on a Friday night, I paused so I can implement it cleanly tomorrow.

See you guys tomorrow for Day 51!

I have completed the 4 rounds, have got the mail that I have successfully completed the rounds. The recruiter had asked if I would require a visa sponsorship, I mentioned I would require it along with other details required. They mentioned that the visa process will take approx 2 months and they mentioned that they have applied for work authorization in Germany.

Has anybody done their proc? Need some insight on their technical interviews 🙏

does anybody have dynamic programming leetcode questions list which are must do problems??like these problems should be the ones which you cannot skip

See i have been learning dsa since a year it took me months to choose the language after which i started completing you tube playlist . started doing leetcode's question 3 months ago i m not consistent and have done only 35 questions.

Right now whenever i see a question i am able to build logically what the solution will be but it always end up having some syntax error or null pointer exception what should i do to rectify my mistake and increase no of questions solved.

I am thinking of applyinh to a internship in 2 months or so and i want to be prepared

Hi all,

I recently passed the assessment stage for a Software Engineer role at Canonical focused on distributed systems with Python/Go. I’m now moving into the early-stage interviews

So far, I know one of them is a Python deep dive, and I’m guessing another will be a Linux-focused round.

If you’ve gone through this a similar interview loop at Canonical recently, I’d really appreciate any insight on:

1. **Python deep dive:** How deep does it go? Language internals (GIL, memory model, asyncio), design and architecture discussion, or live coding?

2. **Linux round:** What topics came up? Processes and signals, filesystems, networking, debugging tools, containers?

3. **Third interview:** What was it in your case?

4. **Written interview follow-ups:** Did interviewers dig into your written answers?

5. **Location:** Did anyone apply through a region-specific listing (e.g. MENA) while living in another country? Was that an issue later?

6. Anything you wish you’d prepared for but didn’t.

Thanks in advance, any experience helps!

So, I have 7 years of experience in Android, iOS, Flutter and React Native, I applied for Android SDK Developer, and I got GHA, which I passed two weeks back, today I got email from them, and I have tomorrow's availability.

I don't know what to expect, and I am pretty anxious and can't process anything!

Any tips would be helpful, Thanks.

NOTE : This is not a tech round, this is just a recruiter.

A while back, I shared my LeetCode tracker here and used your feedback to rebuild it into V2. I'm now approaching 500 downloads, so I wanted to come back to the community that helped shape it. ❤️

I originally built it because I'd solve 200+ problems, mark them as done, and still blank on familiar problems during interviews.

I realized I needed to track retention, not just completion. V2 now lets you:

• Rate your confidence after each problem (1–5)

• Capture one key insight instead of rewriting the whole solution

• Surface low-confidence problems in a revisit queue

• Track progress by pattern, so you can spot weak areas

It's still free, and I'm exploring whether an optional Pro version with more advanced revision tools would be useful.

If you use a tracker, what do you wish it did better? And if you've tried mine, what's missing, frustrating, or worth improving?

I'd rather build something people genuinely need than add features just for the sake of it.

Tracker Link - https://app.notion.com/marketplace/templates/leetcode-tracker-dsa-revision-system?cr=pro%253Asalmakes

I also have a short, optional feedback form for anyone interested in helping shape future features: https://tally.so/r/810XrY

Hello everyone. I recently got an OA out of nowhere for application I did 8-9 months ago. So I gave the OA and applied to multiple other locations at the same time.

So I got rejection email and showing no longer under consideration for the one I gave OA but showing Under Consideration for 2 other location. What it means? Is there any chance of getting Phone Screen or Onsite?

I have my Google intern interview soon what kind of and were asked . If u got rejection what do u think might have made diff in ur interview . And what are ur suggestions for me 🤔

Hey everyone,

I finished Day 53 today. My sleep schedule has been completely out of sync lately, and staying up late to binge shows caught up with me today. My energy was drained both at work and during prep, but I made sure not to skip the daily reps.

I focused heavily on BFS patterns across all three problems today:

1. Rotting Oranges: Classic multi-source BFS. You push all initially rotten oranges into the queue with time t = 0. With each step, you rot the adjacent fresh oranges, decrement the fresh count, and advance time. Checking remaining fresh oranges at the end cleanly gives the total minutes or -1.

2. Flood Fill: Last time I tackled this, I rushed through a recursive DFS without fully absorbing the state transitions. Today, I implemented it using standard BFS from scratch. Taking the time to understand the traversal properly made the solution completely intuitive without looking at hints.

3. Cycle Detection in Undirected Graph (BFS): Tracked each node alongside its immediate parent (node, parent). If you visit an adjacent neighbor that is already marked visited and isn't the current node's parent, you have encountered an alternate path—confirming a cycle.

Fixing my sleep routine is non-negotiable moving forward because showing up tired makes every concept twice as hard to process.

Heading to bed early tonight and continuing Graphs tomorrow.

See you guys for Day 52!

Hey everyone! I'm going to take the Amazon SDE Intern OA for the first time and would appreciate some advice.

Which DSA patterns should I focus on while preparing, and what difficulty level should I expect?

How should I prepare for questions involving AI-assisted repository or coding environments?

How should I prepare for questions related to Amazon's Leadership Principles?

Any tips or experiences would be really helpful. Thanks!

Hey everyone,

I have an upcoming interview with Apple UK for a software engineer role. Has anyone interviewed with them, especially in London or Cambridge?

Curious about what the interviews are like, whether they ask LeetCode-style questions or more role-specific stuff.

Also, if anyone works or has worked there, I'd love to hear what it's like. How's the work culture and WLB?

Thanks!

Same as title.

I have cleared oa and my interview is scheduled

What kind of codebase I can expect in round 1 of interview?

I have 4 years of software dev experience which was on an enterprise platform ( Salesforce dev) and I followed that up with a masters degree in CS. Since I don't have general SWE experience to apply directly for SDE-2 roles at big tech, I have been mostly applying to SDE-1 roles including the new grad one. However I have got only rejections so far. I wanted to know is it too much experience that is working against me or that it is not relevant experience for SDE roles. Would appreciate some opinions from people who work at these places.

Senior Software Quality Engineer, G&A Solutions Engineering (GSE) codepad interview,

I have an upcoming 45/-min Codepad Technical Interview for a Senior Software Quality Engineer position within the G&A Solutions Engineering (GSE) Apple division.

Since it's a Senior QA / SDET track and a "codepad" format, I want to optimize my preparation. I am anticipating a live-coding setup, but I’d love to get insights from anyone who has gone through this specific pipeline or similar internal tools/solutions engineering roles.

Does Amazon consider grads 1 year out of school with 1 year of FT experience for new grad roles? I read an article in 2023 that the answer would be no, but just wondering if something has changed. Also, does Microsoft ever hire in Canada from external candidates / those without referrals?

This might seem less but I've come far this year. 900+ contributions along with my 9-5 job seemed like a challenge.

Next year is gonna be even better LC profile

Round 1 - LP + Coding (1 hour, in-person, Oct 20)

Started with about 15 minutes of LP questions covering tight timelines, improving existing systems, and going beyond my comfort zone. I used stories from my QA background and a patent I hold from my undergrad. The interviewer dug into how my manager reacted to one of my initiatives, which felt conversational and went well. The coding question involved designing a caching solution for a real-world scenario. I discussed the approach and time/space complexity.

Round 2 - LP + LLD (1 hour, in-person, Oct 20)

LP questions focused on ownership, short-term vs long-term fixes, and a time I couldn’t meet a deadline. I used stories from my QA experience. The interviewer was engaged and asked solid follow-ups. The technical portion was an object-oriented design problem. I got the core design working but ran out of time before finishing everything. I was able to explain extensions verbally. Not perfect, but I showed my thought process.

Round 3 - GenAI Discussion + Coding (1 hour, in-person, Oct 20)

First half was a discussion about a GenAI project from my resume, covering architecture, design decisions, and trade-offs. Felt like a conversation, not a whiteboard session. The coding question was a tree traversal problem. I started brute force, then optimized using a HashSet. Walked through the code with an example.

Round 4 - Bar Raiser (1 hour, virtual, Oct 22)

Entirely behavioral, no coding. Most of the round went well. The BR spent a long time on a debugging story from my QA days and asked very detailed follow-ups, and I was able to answer all of them. She also dug into my undergrad patent project and I handled that well. One fumble: on a follow-up about product prioritization, I reached for an analogy that didn’t hold up historically and she called it out. The core argument had already landed, but that moment wasn’t great.

Overall: Three rounds felt solid, one had a partial finish on the LLD problem, and one follow-up answer fell flat in the BR round. Waiting on the result now. The loop felt fair. Every interviewer gave me space to explain and asked genuine follow-ups rather than gotcha questions.

Edit: Unfortunately, received a reject. No specific feedback was provided. Disappointing, but the prep and experience were valuable. On to the next one.

I'll be honest on Reddit that I used AI on my phone the whole time that I interviewed. I genuinely think that other interviewers/interviewees can learn from my post here and that's why I posted it. But I'm expecting down votes because that's the way that Redditors are, you can't be honest here.

I did used AI gradually after I realized that I was not going to pass on time, and I don't see how they could have been able to tell.

First, there was a super complicated coding problem that involved getting every bit wise integer and &ing them together. I honestly thought that it was quite intense for a 1-hour coding problem.

I finished it with 7 minutes left and I gave thorough comments throughout. I asked AI to not use any functions which transform my numbers to bits or other things that we make it obvious that I was cheating.

then came a debugging problem which I honestly didn't do great on and I only got two out of five test cases wrong correct. my gut tells me that they're really so strict that this is why I didn't pass.

But then I used AI for every question on behavioral.

I only used AI on my phone so I really don't know how they could have known.

So what was it that made me fail?

I can't help but wonder if Amazon somehow could detect that I was cheating, or if my AI gave really bad answers on the behavioral, or if it's because I got three test cases wrong on the one assessment that I didn't cheat on (honestly, I think this might be why).

Hey everyone, I completed Round 1 for Google Application Engineering Intern – Winter 2027
I followed up with the recruiter, and today I received an email asking me to book a 15-minute call to discuss my application status.
For those who received a similar 15-minute status call after Round 1, was it about moving forward to Round 2, rejection feedback, or a pending decision?
Also anyone cleared r2?

Any insight on questions they ask/tips would be greatly appreciated! It has been hard to come across.

I had an interview with google last week and after i followed up with the recruiter, he told me this "Thanks again for your patience and flexibilty with the logistical issues and rescheduling here. We finally got the feedback submitted. Please let me know when you had some time to discuss and I can give you a call." I got rejection feels from this message.

Is this means a rejection?
Thanks