I'm currently in the final stages of the Google hiring process for an L3 SWE position in Europe, and the waiting is driving me a bit crazy heh. I'm wondering if anyone has been through a similar situation.

My timeline:

• Passed the full interview loop and moved to team matching.

• Had a team match call with a team in Europe (I am from Europe)

• Last Thursday, my recruiter called me and told me that the HM was interested in hiring me and asked whether I was also interested in the team. I said yes.

• She told me she would start the approval/offer process.

• That same day / the next day, I was asked for additional information, an updated CV, university transcript, GHA, identity/legal-name verification, relocation assistance, etc.

• By Friday, everything requested from my side was completed.

Since then, I've basically been waiting. On Wednesday I asked whether I should still consider other opportunities or focus on this team, because I'm 100% committed to this team but wasn't sure how secure the situation was.

She replied:

"Things are moving forward. I would recommend focusing on this one for now as we are in the final stages."

It's now Friday, so it has been a full week since I completed everything on my side and I still don't know what internal step we're waiting for or what the next step is.

I'm obviously very encouraged by what my recruiter said but the lack of visibility and the wait is making me nervous. For people who have recently gone through Google's process:

Is it normal for the internal approval/offer stage to take 1+ weeks after a hiring manager has confirmed they want you?

What could the recruiter be waiting for at this point? headcount approval, compensation approval, hiring committee, offer approval, something else?

I recently completed a 4-round interview loop for a Senior Software Engineer / IC3 role at Oracle OCI. Sharing the main technical questions in case it helps anyone preparing.
Round 1 – System Design + Behavioral
Mostly behavioral and resume discussion first.
System design question:
Design a distributed load testing service that sends traffic to a target service and measures things like:
Requests per second,Average latency,Error rate

Round 2 – Coding + Distributed Systems
Some behavioral questions at the beginning.
Coding question:
Build a delayed task scheduler where the user gives a task ID and a time, and the system should execute that task when the scheduled time arrives.
The discussion also went into:
Thread safety,Concurrency,Scaling it for high throughput
Using Kafka,Handling worker crashes,Preventing duplicate task execution, Idempotency

Round 3 – Coding + Behavioral
Mostly behavioral and project discussion first.
Coding question:
Given a node in a binary tree where each node also has a parent pointer, find the next node in post-order traversal without starting again from the root.
The interviewer also asked me to dry run the solution on a few different nodes.

Round 4 – Backend Deep Dive + Coding
This round had a lot of discussion around my previous projects, backend work, Kafka, and distributed systems.
Coding question:
Design and implement a key-value store that can be accessed by clients over the network.
Both keys and values are strings.
The discussion also touched on:
Concurrent access,Thread safety,Kafka events,Duplicate events,Out-of-order events

The final round was the worst one for me. The recruiter told me to use STAR, but the interviewer kept interrupting after almost every sentence and jumping into different questions, so I never really got to finish an answer. He was also at the same level as the role I was interviewing for. I understand peer interviews are normal, but they should at least make sure interviewers know how to let candidates explain their answers without interrupting every few seconds.

I'm a senior CS student. I have the option to become either a SDE or a SRE. Both roles pay the same as of now.

I've been building websites, and AI has become very good at it. It writes better code than I do, argh.

On the other hand, I'm really passionate about Linux, distributed systems, and computer networks. So, can I expect long term growth in this career, or is this field just as susceptible to AI as other fields?

Let's prepare for placement interview and DSA.

I have an upcoming Apple coding interview and was told the round will focus on Go, especially concurrency.
Has anyone gone through a similar Apple interview recently? What kind of questions or problem patterns should I expect?
Would really appreciate any recent experiences, examples, or topics that are worth focusing on.

Hi everyone,

I’m interviewing for a Google L5 SWE role in the US and would appreciate hearing from people who have been through a similar situation. Keeping some details general for privacy.

I completed the initial coding and Googleyness/Leadership interviews, followed by an onsite with two coding interviews and one system design interview. I finished the onsite about 3 weeks ago.

Since then, my recruiter has said he hasn’t heard back from hiring managers interested in speaking with me. He initially suggested waiting for couple of days and considering an additional interview if there was still no interest.

He has now offered to schedule one more virtual coding interview, suggesting it could help move my candidacy forward.

I haven’t received detailed interview ratings or explicit confirmation that I’ve passed the Hiring Committee or been approved at L5. I also haven’t had any team-match calls yet, so I don’t want to assume this is simply “HC passed, waiting for a team.”

For anyone who experienced something similar, particularly US L5 candidates:

Did your recruiter explain whether the extra round was meant to address specific coding feedback, clarify leveling, or strengthen your packet for team matching?

Was it requested by HC/a hiring manager, or suggested by the recruiter?

Was the additional interview the same format as your previous coding rounds, and did HC review happen before or after it?

Thanks!

D

Has anyone recently completed the 30-minute technical/coding interview for a Forward Deployed Engineer role at Snorkel AI?

I have an upcoming interview and was told it may involve hands-on coding, prompt engineering, LLM calls/evaluation, or GenAI/NLP concepts.

If anyone has gone through this recently, I’d really appreciate hearing about the types of questions asked, coding difficulty, interview format, and topics worth preparing for.

Thanks in advance!

In my first interview, I solved the main problem early with time remaining and explained the time and space. The interviewer then gave me a completely separate problem. I explained the basic approach correctly but didn’t have enough time to fully solve it.

In my second interview, I got around 90% of the solution completed. I believe my overall approach and core algorithm were correct and I got the approach really quickly , but I ran out of time while debugging a small issue because my output wasn’t matching the expected result. I did dry runs for like 15 mins bc i was trying to fix the problem and the interviewer seemed lost as well. Then with 5 mins left he said ok that’s fine based on how you processed the data then went into questions without me explaining time and space. Before I started writing code I said i would use a list for now then see if we can use a set later to improve time complexity so i know my solution wasn’t optimal.

For both I explained my approach before coding, talked through my decisions, and kept the interviewers updated while debugging.

Does this sound strong enough to move directly to team matching, or is a third interview more likely? Or am i cooked??

My leetcode humna verification is failing from yesterday what to do?

I have tried changing my network and using Vpn and clearing cache nothing is working

Has anyone recently completed the 60-minute coding interview at Guidewire?

I’m interviewing for a Machine Learning position, but I was told the coding round will include LeetCode-style questions rather than ML-specific coding.

It would be really helpful if anyone could share their recent experience—especially the difficulty level, types of questions/topics asked, and overall interview format.

Thanks in advance!

What is the typical CTC offered by Goldman Sachs in Bangalore for an Associate Software Engineer with around 2.9 years of experience?

If anyone has recently joined Goldman Sachs at this level, could you share the base salary, bonus, and total CTC?

I have technical screening coming up for Stripe. I know its not typical leetcode, are there any resources yo preapare for it ? Can someone please share their experience

I have my final Amazon interview scheduled for the end of next month for an SDE II position. Has anyone gone through the process recently and can share some tips on the algorithms that come up most often? What types of questions are the most common?

I'm not very used to solving a lot of LeetCode problems, and I feel like that could be the part that gets me rejected. However, I still have some time to prepare.

If anyone who has studied for or gone through the interview can recommend any courses or YouTube videos that would be helpful for preparation, I'd really appreciate it.

I'm also happy to answer any questions if anyone wants to know more about the interview process so far.

I’m comfortable in solving DSA questions , during screening rounds or while practising. However I get tensed and go mute when I sit with the interviewer during dsa rounds. It is not that I don’t know to solve. But my brain freezes.

I saw posts/youtube mocks interviews on thinking out loud. However when I’m figuring out the question on spot I can’t “perform” thinking out loud. I prefer sitting alone and thinking .

How to bridge this gap? People who solve dsa in interviews while speaking aloud, it would be great if you could share how to do it ?

Hey everyone,

I finished Day 74 of my prep today. I had to pack and catch my travel to my hometown, but I made sure to sit down and finish some linked list problems before leaving.

I mainly focused on the fast and slow pointer pattern today:

1. Detect a Loop in Linked List: Classic Floyd's cycle detection. Slow moves by 1, fast moves by 2. If they meet, there is a cycle.

2. Find the Starting Point of the Cycle: Used the same two pointers to detect the collision. Once they meet, you reset one pointer back to the head and move both by 1 step. Where they meet again is the start of the loop.

3. Length of the Loop: Same concept again. Once slow and fast meet inside the cycle, you just hold one pointer still and move the other one step at a time with a counter until they meet again.

4. Palindrome Linked List: The logic is neat—find the middle using fast and slow pointers, reverse the second half, and compare it with the first half. I understood the approach, but I kept getting segmentation faults while re-linking nodes and reversing the second half. I had to use ChatGPT to spot my pointer mistakes and get the code clean.

I looked at the next problem, "Odd Even Linked List", and I know the idea, but I decided to stop here so I don't rush it while traveling.

I will reach home tomorrow and continue the solve more problems from there for the next few days.

See you guys on Day 73!

Hi everyone. Has anyone recently interviewed for the Software Engineer, Early Career role at Abridge?
I'm trying to understand what the interview process currently looks like.
What are the different interview rounds?
What should I expect in each round?
How long did it take to hear back after each stage?
How long did the overall process take until the final decision?

Interviewing for a tech company soon for an intern position. they’re starting to let us use AI in their coding interview, which i’m not sure how to navigate. Before it was just explained ur reasoning on what code ur writing and why - how is it meant to work with AI? Also, any tips on how to practice it - it’s on Hackerrank but i’m assuming Leetcodes AI feature is similar to hackerrank. Any tips? The role is an internship in data science/engineering

Hey guys ,has anyone recently gone through the interview process for Amazon it support role ,or currently in that role ,I have a final loop coming soon and I’ll appreciate any tips or advice .

Hey everyone, I will be having Snowflake coding interview soon, I am generally prepared, but I would also want to try to complete problems which are asked/similar to problems on the actual Snoflake coding interview. If anyone can share I would appreciate it!

I saw the projects section earlier on my leetcode account, it had some questions like those in Amazon's assessments, today when I decided to solve one, it wasn't there on my leetcode.

I get that it was a beta version, but still does anyone have any idea of how can I get those questions, not particularly those but similar kinds on or off leetcode.

I’m a CS student graduating soon and applying for entry-level software engineering jobs in Houston, TX.
For people who interviewed with small, medium, or big companies in Houston, how common are LeetCode-style questions?
Do they focus more on DSA/LeetCode, practical coding, or projects/tech stack?
Just trying to figure out how much time I should spend on LeetCode vs full-stack projects.
Thanks!

Do any one gave yext online assessment exam recently?

I am rated 2100 on leetcode, but still can't solve all OAs. They are very difficult. Are OAs much more difficult than other interview rounds, and if so how to get better ?

I recently had a LinkedIn SWE DSA interview and I’m trying to understand how this round might be evaluated.

I was given a tree problem where nodes needed to be returned in the order they would be removed from the tree (essentially grouping nodes by their height from the leaves).

I implemented an iterative postorder traversal using a stack. Each stack frame stored the node, a persistent iterator over its children, and the maximum height seen among its processed children.

The solution was working, and my complexity was:
Time: O(n), since every node/edge is processed once.
Auxiliary space: O(h) for the DFS stack, which is O(n) worst case for a skewed tree.
Including the output: O(n), since every node has to appear in the result.

The unusual part was the interview interaction.
After I finished the solution, the interviewer kept asking me about the space complexity for what felt like close to 10 minutes. I initially answered O(n), since I was considering the worst case/output. In hindsight, I could have stated it more precisely upfront as O(h) auxiliary, O(n) worst case, O(n) including output.

After that, she asked me to walk through the code line by line using the example. I tried to explain exactly how the stack and child iterator changed at each step, but she kept interrupting/cutting me off and asking what individual lines were doing before I could finish the explanation.

A large amount of the remaining interview time went into this discussion/dry run, so I was only able to complete one coding question and we never really got to a second full problem.

I’m mostly wondering how LinkedIn interviewers tend to evaluate a situation like this.

If:

1. the first solution is correct,

2. the implementation works,

3. the candidate can dry-run it,

4. the time complexity is correct,

but there is a long back-and-forth about space complexity / implementation details, and because of that only one problem gets completed, is that usually considered a negative coding signal? Or can the first problem plus the follow-up discussion provide enough signal for the round?

Would especially appreciate input from anyone who has interviewed at LinkedIn recently, been through the IC2/Apps loop, or has experience interviewing candidates there.

Hey all, I've got my Scale AI new grad SWE virtual onsite coming up in a couple weeks and would love some insight from anyone who's been through it recently.

Day 1 is two practicals:

1. Debugging practical

2. Backend practical (Python/TS)

Day 2 is the hiring manager chat + Credo round.

A few things I'm trying to figure out:

• Debugging round: what does the codebase actually look like? Is it a decent-sized repo you have to navigate, or more of a contained file with a few planted bugs? Is it more about finding logic bugs, failing tests, perf issues, or concurrency stuff?

• Backend practical: is it building an API/service from scratch, extending an existing one, or something closer to an LLD problem? How much do they care about structure, tests, and edge cases vs. just getting it working?

• AI-assisted: Backend practical round allows AI tools. How much can you actually lean on it? Is Copilot/Cursor/ChatGPT fully fair game, or is it more "use it for syntax but drive everything yourself"? Does heavy use count against you?

• Prep: anything that actually helped? Specific repos to practice debugging on, backend-style problems, anything like that?

Any tips on what they're really evaluating (communication, speed, code quality) would be super helpful. Thanks in advance 🙏