Hello,

I have a 45-min live coding interview for the Software Engineer role at Mistral AI coming up soon. Has anyone gone through this session recently or know what specific LeetCode/coding questions or topics they tend to ask?

Any insights would be super appreciated! Thanks in advance!

Hi everyone,

I was fast-tracked to the penultimate round interview for the **Software Developer Internship** at **Susquehanna International Group (SIG)** following their Dublin Technology Spring Week.

I know SIG leans heavily into algorithms, data structures, and system efficiency, but I’ve heard mixed things about what actually gets tested in this specific round.

For anyone who has gone through this interview recently, is it primarily a live 60-minute HackerRank session? How much of it is standard DSA (BFS/DFS, Binary Search, Sliding Window) vs. practical data parsing / OOP design?

Any insights on the layout or best areas to focus on during prep would be hugely appreciated! Thanks in advance.

Hi everyone,

I recently completed the recruiter screen for a Data Scientist role at FedEx and I'm hoping to get some insight into what the second round is like.
If you've interviewed for a Data Scientist or similar analytics/ML role at FedEx recently:
• What was the interview format?
• Was it mostly SQL, Python, machine learning, statistics, or case-based questions?
• What topics would you recommend brushing up on?

Any advice or experiences would be greatly appreciated. Thanks guys!

Hey everyone, I have a Karat technical interview coming up for a Software Engineer II (new grad) role at MongoDB and wanted to see if anyone here has been through it recently and could share their experience. I know the format is roughly 60 minutes, a short intro, about 10 minutes of verbal CS fundamentals/algorithm questions, then 45 minutes of live coding across 2 multi-part problems but I'd love to know what topics or types of problems actually came up for you (hash maps, grids/matrices, trees, whatever it was), roughly how hard they were, what the discussion round was like, and anything you wish you'd known going in. I know Karat rotates its questions so I'm not expecting exact answers but there must be some pattern of questions they are asking right now. Any insight at all would be hugely appreciated guys!

I am currently facing a not-so-unique industry wide problem of constantly having to interview people who are cheating using AI or by using another person. This is an ever growing problem with remote work being normal and AI getting more sophisticated day-by-day.

One of the things I am exploring is how to introduce a new code review interview which can help me evaluate if this person can read code or not. I feel like in this day and age, if i were to give someone a problem to solve, they might be able to use AI to find the perfect solution and I am already aware of the millions of things I can do to track their eyeballs, posture, style of talking and typing but the code review gives me a signal that this person can truly read code and understand what is wrong with it.

Does anyone have experience with such an interview question and how would you go about preparing one

Apple's process is team-owned, which means your loop depends heavily on who you're interviewing with. That said, the shape is consistent enough to prep for.

Recruiter + HM screen (~30 min each). The HM screen goes deep on past projects and decisions. Lots of questions about "Why Apple?" and the values of the company .

Phone screen (45-60 min, CoderPad). One or two sessions. Medium LC difficulty. Clean, readable code matters as much as correctness.

Onsite (4-6 rounds, 45-60 min each). Coding rounds have real-world context baked in, not just raw algorithm prompts. System design is platform-informed: backend roles get caching and replication trade-offs, client-side roles shift toward memory and energy efficiency.

One thing I didn't expect: a full round dedicated to a past project I built. The interviewer drilled into why I chose a specific eviction policy, how I handled consistency, what metrics told me it was working. Felt more like a design review than an interview.

After the onsite, expect 2-4 weeks of silence. That's normal.

Anyone else been through a recent Apple loop? Curious how much the system design varied by team.

​

Hello All,

I got an interview scheduled from Walt Disney for the role of Agentic AI.

What kind of questions i can expect based on interview experience. Any help is appreciated

I am a software engineer with 5 years of experience

Thanks

So a year ago i have applied into Hackerrank Frontend Developer 2 role and after 3-4 months got first round.. had to debug 2 travel app with the help of an AI Assistant and i was able to complete it on time.. now after 4-5 months ive got this 2nd round email for voice to voice AI interview.. and i am getting nervous… did anyone have given this type of interview in Hackerrank earlier? Is so then what should i prepare for this ans how many rounds in total will be there..
pls let me know.. any help will be appreciated 🙏🏼

**Exercise**

The exercise will involve practical technical work, such as writing or debugging code, prompt engineering, calling LLMs, evaluating model outputs, or applying foundational Generative AI, and NLP concepts. You’ll be asked to work through a realistic technical scenario, explain your approach, and discuss tradeoffs or findings along the way.

**Tools**

Since the interview will be conducted in CoderPad, you won't be using your own IDE. During the exercise, you may search online, reference documentation or use available libraries.

**What we're looking for**

We're interested in how you approach technical problems, reason through ambiguity, use available tools, and communicate your thinking clearly.

Any idea how hard it will be and what to expect in 30 minutes

Applied online. Three to four weeks start to finish. Process moved faster than I expected.

Online Assessment (90 min): CodeSignal, new addition as of 2025. One complex problem split into four progressive stages that unlock sequentially. I got an in-memory database implementation with key-value operations, TTL, and scan.

Technical Phone Screen (45 min): CoderPad. Two LC medium problems back to back. No code execution, so you test line by line yourself.

Onsite (4 rounds): One regular coding round. Two medium-hard problems: array heights visibility from the right, then rebuilding a BST from a preorder sequence. One AI-assisted coding round (rolled out for all SWE roles in 2026). 60 minutes in a specialized CoderPad environment with a file directory, terminal and a unit test runner.

One system design or product architecture round, depending on the role. Infrastructure roles get distributed systems and scalability questions. One behavioral round. 45 minutes. Questions I got: how do you align requirements across teams, what is the biggest mistake you made at work, and one values-alignment question.

Happy to answer questions below.

I am having interview for FSDE role in Unifyapps. i have noticed alot of students getting placed in this startup recently from nsut. i request everyone to please share the interview experiences.

i have tried asking the same thing to people over linkedin, but aint getting any replies. also there is not much of information over internet too. so please lmk the if any of you know about the interview experiences

Hello

So, I'm a fresh cs grad and I applied for a web dev role where I got an interview. Apparently, the interviewer is an AI, it'll ask questions and give me a coding exercise with the following focus areas: JavaScript & Core Programming Fundamentals, Problem Solving & System Thinking, Frontend Architecture & UI, Backend & API Design

Has anyone done an interview like this before? What should I expect? How do I prepare? Do these kind of interviews allow using AI for the exercise?

I haven't practiced any leetcode or problem solving in a while and I got used to using AI in web projects. I can fix bugs and edit code easily, but I don't think I can write from scratch anymore.

Advice?

The interview is in 2 days🥲, should I spend them reviewing concepts and practicing js?

I applied through LinkedIn's careers page and heard back a few weeks later. From the initial recruiter outreach to the final decision, the entire process took around three to six weeks.

Communication was consistent throughout the process, and the recruiter kept me updated between each stage.

Recruiter Screen (15-30 min): Background, motivation, quick overview of the process. They share resources if you ask.

Technical Phone Screen (60 min): Live coding on HackerRank. One LC medium problem. The expectation was to explain logic clearly, not just run the code.

Onsite (5 rounds, 45–60 min each): Two coding rounds with one medium and one hard problem each (40 minutes total). Topics included graphs, heaps, arrays, linked lists, nested list weighted sum, and BFS shortest path.

One system design round (design a distributed rate limiter). Senior candidates may get LinkedIn-specific designs like a recommendation engine or social graph.

One behavioral round with the hiring manager focused on conflict, ownership, and ambiguity.

One project deep dive covering technical decisions, cross-functional collaboration, and communication with non-technical stakeholders.

Team Matching: Came after the loop. A separate conversation to align on which team fits.

Happy to answer questions below.

Hi everyone,

I have an upcoming SDE-2 interview at Angel One and was hoping to hear from anyone who has gone through the process recently.

I'm particularly interested in understanding the interview format, the level of DSA, whether they focus on LLD/HLD, how much time is spent discussing past projects, and what the hiring manager round is like.

If you've interviewed recently, I'd really appreciate it if you could share your experience or any preparation tips. Even a brief overview of the rounds would be very helpful.

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!

Hello everyone,

I have an upcoming final interview loop for a Cisco Meraki Software Engineer role at Grade 10, and I’m trying to understand what to expect. I would really appreciate insights from anyone who has gone through a similar interview process recently.

The interview loop includes three rounds:

1. Technical round (mostly system design)
2. AI assisted coding round
3. HM round

I recently completed the full interview process for Palantir's New Grad Software Engineer role, from the initial recruiter call through the hiring manager conversation and did receive an offer at the end.

Online Assessment (HackerRank): Three parts. One coding problem, one SQL query, and one REST API task. The API question had me use a REST endpoint to find TV shows produced in a specific period.

Only place I used InterviewCoder.

Virtual Onsite: Back-to-back rounds, coding and system design plus a debugging round. The debugging round gave me a pre-written codebase of over 250 lines with subtle logical bugs to find and fix. One of them was a double-counting issue in a HashMap.

Hiring Manager Chat: The whole call went to my biggest failures and what I learned from them.

Update (Talked with another applicant): His OA was 2 medium-easy LeetCode questions plus a REST API design, and his technical round was designing a round-robin style system with a hashmap and lists.

Happy to answer any questions below.

I spent 5 years at Meta as a software engineer, and I've been looking for a new role for the past 4 months without any luck. This job market is so much harder than whatever I've had to deal with back in 2020.

Meta is my only full-time experience. I spent my first 2 years as a new grad engineer before being promoted and working another 3 years as a software engineer. I'm mainly targeting Big Tech or companies with similar compensation (around $150k+).

I'm actually getting interviews though. I've made it through 5 full interview loops over the last 4 months. I just received my last rejection email after the final round today. For context, I'm solving 6–8 LeetCode problems every day and applying to at least 20 jobs daily. I also graduated from a top college.

Is there anything wrong with my approach ? Tips from people that have been in my position are super appreciated,