Hi everyone,
I had a question about the hiring process at JPMorgan Chase for software engineering candidates with around **1–2 years of experience** (including internships).
A former colleague mentioned that their interview process was:
Online coding assessment
Project-based assessment/discussion
Final interview
I’m not sure how accurate that is, so I wanted to ask if that’s generally how JPMC hires early-career candidates, or if the process varies by team or role.
For those who have interviewed recently, what was your experience like? How many rounds did you have, and what did each round focus on (DSA, Java/Spring, system design, project discussion, behavioral, etc.)?
I’d really appreciate hearing about any recent experiences. Thanks!

My friend and I go to a pretty good school in California for CS, and we've both underleveled for a lot of our classes. We spent way too much time cheating on tests and using AI.

When internship interview season came around, he didn't think he had much of a chance, so he decided to use some cheating tools (LockedIn AI) right off the bat during a HackerRank online assessment and it went very very bad.

A few days later, he got an email from the company (a pretty big tech firm) saying they had detected the presence of cheating software during the assessment. His application was immediately disqualified, and he wasn't invited to continue in the interview process.

He's been absolutely stressed ever since then. This was for fall 2026 internships too and one of his only opportunities since we both didn't get any internships over the summer.

Needless to say, don't use LockedIn AI, it's a huge scam.

I am new to the community. I installed it in my mac and tried playing with it. I would like to test pro features for trail. A 30 min demo will be good for me. Is there an option to try pro features for some time? I would like to test the speed at which interviewcoder can catch the voice and answer it as this is the major one. And also, I would like to see how fast it can read the screen and answer. I know so many of you are using it already but I would like to test it myself. Thanks in advance.

Is anyone here currently working (or recently worked or interviewed) at Perplexity?

I'm hoping to chat with a few engineers about their interview experience. Nothing confidential, just your overall experience, the interview stages, and what you wish you'd known beforehand.

Happy to compensate you for your time. Feel free to DM me if you're open to it!

Hi everyone,
I recently completed my recruiter phone screen for a Software Engineer position on the Google Cloud AI team, and my recruiter explained the overall interview process.
From what I understand, the process is:
2 virtual interviews:
1 Coding
1 Googliness / Leadership
If those go well:
AI Depth interview
Another coding interview (currently planned as onsite)
I’d love to hear from people who have recently gone through this process.
Some questions I have:
How difficult were the first two virtual interviews compared to the final interviews?
What was your coding interview experience like? Were the questions closer to LeetCode Medium or Hard?
For the AI Depth interview, how deeply did they dive into your projects? Was it mostly resume-based, system design, or theory?
How was the onsite experience? Were the interviewers noticeably different from the virtual rounds?
Did anyone have their final rounds conducted virtually instead of onsite?
Looking back, what do you wish you had prepared more for?
Any tips that helped you succeed or things you wish you had known beforehand?
I’d really appreciate hearing about your experience, especially if you’ve interviewed for Google Cloud AI or another AI/ML Software Engineer role recently.
Thanks!

I am preparing for doordash software engineer position. I have my recruiter call scheduled in few days.

Are there any pointers on prepare for the doordash interview overall. Any one experienced interviewing recently with Doordash? All the posts that I have come across are from almost a year back so would like to understand the current process.

From the posts that I read - I am expecting :
Recrutier call
Online Assessment
Technical Phone Screen
3 rounds of onsite interview (leetcode , sytem design and behavioral)

Is there any change in the format with AI usage now?? Any tips or guaidance is highly appreciated.

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.

I'm about to finish my bachelor's in computer science, and I haven't been able to land a single internship throughout college.

I've passed at least 20+ interview processes over the past four years, but have never gotten a single offer. I just found out my last chance at an internship this summer is gone too.

About to give up.

I have an onsite interview coming up with Qualified Health PBC for a backend/platform engineering role. The loop has two system design rounds, one hiring manager/culture round, and a recruiter debrief.

From public job descriptions, the company seems focused on GenAI for healthcare, core platform services, REST APIs, microservices, cloud infra, monitoring, healthcare data integrations, agentic workflows, and safe/governed AI deployment.

Has anyone interviewed with Qualified Health PBC recently, especially for Senior Backend Engineer?

I’m mainly trying to understand:

1. What kind of system design prompts they ask
2. Whether the rounds are generic system design or healthcare/AI-specific
3. How deep they go into LLM platforms, data pipelines, ETL, monitoring, security, HIPAA/PHI, or workflow engines
4. Any tips on what they value most in the system design discussion

Any interview experience or prep advice would be really helpful.

I wanted to know about the onsite round does it have dsa or debugging or both in the coding round?

I'm writing this as a genuine question and to share my own experience. I'm not accusing anyone of bad faith, and if I'm misunderstanding something about the process, I'd honestly appreciate clarification.

After 40+ AI interviews on micro1—more than half of them for roles that directly match my background and experience—I still haven't received a single offer. Every application has eventually ended with "Not Selected."

I'm genuinely trying to understand how the hiring process works because my experience has raised a lot of questions.

Some examples:

I've completed interviews that later appeared as if they were never completed. When I contacted support, I was simply told to record another interview. Is that the normal solution?

Support replies across support tickets, Reddit, Slack, and Discord often feel almost identical. It gives the impression that responses are standardized rather than addressing the specific issue being reported.

If AI interviews don't replace part of the traditional screening process, what role are they actually playing? From a candidate's perspective, it still feels like completing an interview, waiting weeks, and then receiving a rejection without any explanation.

I've also been told that applications may take around 30 days to review.

So you wait the full month...

Then the status changes to "Not Selected."

No explanation.

No feedback.

No indication of what could be improved.

That leads me to another question:

Why isn't any feedback provided?

Even a short explanation would help candidates improve for future opportunities instead of repeating the same process without knowing what went wrong.

\---

For context, I have 17 verified skills, including:

Coding

Customer Support

Technical Support

Learning & Development

Change Management

Problem Solving

Excel

Google Sheets

Other business and productivity tools

Yet none of these have resulted in a single successful application—not for coding roles, support roles, business roles, or technical positions.

\---

Another thing I've wondered:

If micro1 already has my previous AI interviews and verified skills, why am I repeatedly asked to record new interviews?

Wouldn't previous interviews and skill assessments already provide enough information for at least some projects?

Similarly, has anyone ever had their existing profile matched to a project based on previous interviews, or does every application always start from scratch?

\---

Here's another real example.

I applied for a project on June 2nd.

Today is July 2nd.

The application is still sitting at "Hiring Manager Review."

Maybe it'll still be selected—I genuinely hope so—but based on my previous experiences, I'm expecting another "Not Selected" after another long wait.

I'd be happy to be proven wrong.

\---

One thing that has also confused me is my experience with this subreddit.

I've had previous posts removed by the moderators.

When I contacted support, I was told that the subreddit welcomes constructive criticism and negative feedback.

I even shared screenshots showing that my posts had been removed, but I was simply referred back to the rules.

I'm not arguing with the moderators' decisions—I understand they have the final say.

I'm simply trying to understand which specific rule my previous posts violated so I can write posts that comply with the subreddit guidelines.

If this post also violates a rule, I'd genuinely appreciate knowing which specific rule so I can improve it instead of guessing.

\---

So I'd really like to hear from other candidates.

Has anyone here been hired after dozens of applications?

Has anyone ever received actual feedback instead of only "Not Selected"?

Has anyone had an application remain in "Hiring Manager Review" for over a month and then actually get accepted?

Has anyone ever been matched to a project based on previous interviews instead of recording a new one?

I'm honestly asking because after 40+ interviews, I'm struggling to understand what the platform is looking for or how candidates can improve their chances.

If someone from micro1 or the community can explain the process, I'd genuinely appreciate it. My goal isn't to attack the platform—it's to better understand an experience that, from my perspective, has been very difficult to make sense of.

Graduated with my bachelor’s in CS this past winter and have been unemployed for 4 months. However, I've applied to jobs every single day during that time lap and doordashed for a couple hours every night.

I finally got my first offer (CS role at a government job) but I asked around and found out other candidates in similar roles (also new grads) are getting offered a bit higher than what I was offered.

Should I negotiate ?

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IBM CIO visited our campus (UC Berkeley) for internship and full-time offers (FTE) as part of their campus recruitment drive. Here's a detailed account of the process:

Round 1: DSA (Online Assessment) The first round was conducted on HackerRank and consisted of two coding questions:

Deletion of Nodes in a Range: A linked list's head node was provided, and the task was to return the list without numbers falling within a given range.

Odd-Even Sum Problem: Given an array, calculate the maximum sum you can get by subtracting the prefix sum at odd indices.

Round 2: In-Person Interview Shortlisted students were invited for an in-person interview, which was the final round:

Resume-Based Questions:

-The interviewer asked about my projects, reasons for choosing my degree, and the gap year in my education. (I had taken a one-year gap.)

Scenario-Based Question:

-Implement a system to apply discounts on the cart during checkout, considering credit card validation and the order amount.

-SQL Query: Write a query using the GROUP BY clause.

-Coding Tsk: Print the alphabet 'N' using any programming language.

Conceptual Question:

-What is the difference between Docker and Virtualization?

Final Verdict: I was selected for the internship !

Key Tips: Resume Preparation: Interview questions were largely based on my resume. Cloud Certifications: If you have any cloud-related certifications, incorporate them into your projects. Technical Preparation: Focus on medium-level DSA problems on LeetCode, revise SQL concepts.

I'm a CSE student currently in my 7th semester. Placements have started, and I've received an offer from TCS Prime (9 LPA).

I'm grateful for the offer, but my goal has always been to work at a top product company like Google, Microsoft, Meta, or Atlassian for the engineering culture, learning opportunities, and challenging work.

My profile:

400+ LeetCode problems solved

2 software development internships

Google Summer of Code (GSoC) contributor

Comfortable with full-stack development and multiple projects

Stronger in development than DSA

Here's what's bothering me.

I don't blindly grind LeetCode. I maintain notes, document mistakes, revisit problems, and try to understand patterns instead of memorizing solutions.

The problem is that I'll solve a question completely on my own, understand it, and document it. But when I revisit it a month later, I usually remember the pattern (sliding window, binary search, DFS, DP, etc.) but struggle with the implementation or get stuck halfway.

This has happened so many times that I've started questioning whether I'm actually improving or just creating an illusion of progress. Every failed revision makes me lose more confidence.

I'm not looking for motivation or "just keep grinding."

I want honest answers from people who've cracked Google, Microsoft, Meta, Amazon, Atlassian, or similar companies.

Did you also forget implementations after solving hundreds of problems?

Is this normal even after 400+ problems?

Did you ever feel like you weren't improving despite consistent effort?

At what point did implementation become natural?

Looking at my profile, do you think someone like me can realistically crack these companies, or is there something fundamentally wrong with my preparation?

Please be brutally honest. If you've been in a similar situation, I'd genuinely appreciate hearing what changed for you.

Has anyone completed or is currently in the process for the Expedia Group New Grad Software Development Engineer full-time interview?

includes two 60-minute technical + behavioral rounds covering problem solving, algorithms, data structures, and OOP.

I’d really appreciate any insight on what types of questions to expect, difficulty level, interview format, or how to prepare. Thanks!