Intuitive.ai (Intuitive.Cloud)-Oncampus Interview Experience | 10LPA

Source: Dev.to

Overview of the Company

Company Name: Intuitive.Cloud

Roles: Cloud & DevOps, Modernization/Migration (SDE), Data Engineer and AI/ML, Network Security/Cyber Security

We had some prior knowledge about the company as the placement committee had conducted a session with the CEO & CTO before the placement drive.

Duration: 90 minutes

Interview Structure

• Section A: CS Fundamentals MCQs
• Section B: Aptitude & Logical Reasoning
• Section C: DSA Coding Question (Easy to Medium)
• Section D: Scenario‑Based Coding Question

First Round – Group Discussion

Format: On‑site

• Groups of 5 students.
• Introductions followed by a discussion on “Can Art & Pop Culture benefit our society?”
• I contributed 2–3 valid points.

Outcome: After 15 minutes, a shortlist was announced. I was one of the two students selected for the Cloud/DevOps role.

Second Round – Technical Interview (Cloud/DevOps)

Format: On‑site

• Focused entirely on Cloud/DevOps, the role I applied for.
• Started with a brief self‑introduction, then the interviewer moved to my projects.

Projects Discussed

1. Database research project.
2. Several AWS‑based projects.

Sample Questions

• How did you deploy your backend app on AWS EC2?
• What is AWS Lambda, and how does it differ from EC2?
• Explain serverless architecture.
• Questions about S3 buckets and related services.

Tips for This Round

• Explain your projects thoroughly; interviewers often ask follow‑up questions.
• Prepare in advance and review common domain‑specific interview questions.

Final Outcome

After three hours of waiting, I received a message from the placement team stating that I was not moving forward.

• The company selected 3 students for the SDE role and 1 for the Cloud role.
• Later, the Cloud student was moved to the SDE profile, per the company’s decision.

Result: Rejected

Key Takeaways

• Even without selection, the experience boosted my confidence as I cleared multiple rounds for the first time.
• Improved my communication and resume‑building skills.
• Identified specific areas where I need further improvement.

Final Thoughts

Overall, it was a good experience. The interviewers were professional and punctual, which I found most important.

Advice for Future Candidates

• If applying for Cloud/DevOps, AI/ML, or Data Migration roles, prepare thoroughly.
• Dive deep into your projects; being over‑prepared is better than making avoidable mistakes during the interview.