Quantiphi

Role: Framework Engineer

College: Not Specified

Interview Type: On-Campus

Result: Selected

Topics Asked: DSA/Coding, OOPs, Aptitude, C/C++, Java, Verbal/Reasoning

Experience:

Hi everyone! I’m Sarah Khan, and I’d like to share my interview experience with Quantiphi . After interviewing with companies like Oracle, Deloitte, and Capgemini, I identified my weak areas, worked on them, and ultimately got selected for my dream role at Quantiphi! Quantiphi is a service-based, AI-first digital engineering company founded in 2013. They specialize in AI, data analytics, cloud services, and marketing analytics. The company partners with leading platforms like AWS, Nvidia, Azure, and GCP. Eligibility Criteria Academic Requirements: 70% and above in 10th, 12th, and graduation/post-grad (till date). Backlogs: No active or dead backlogs. Roles Offered Quantiphi visited our college to recruit for the following roles: ML Engineer Business Analyst (subdivided into Sales Engineer and Business Analyst). Framework Engineer (subdivided into Data Engineer, Software Development Engineer (SDE), and Platform Engineer). Note: Roles were assigned based on scores in the Online Assessment (OA), which considered aptitude, DSA, technical MCQs, and resume evaluation. Initially, I received the ML Engineer role, but later opted for Framework Engineer as it better matched my skills and interests. Round 1: Online Assessment (OA) The OA was conducted on Unstop and divided into three timed sections: Total Questions: 76 Duration: 1 hour 30 minutes Scoring: Based on accuracy, with speed as a tiebreaker. Sections: Aptitude & Verbal Ability: Standard questions, manageable difficulty. Technical MCQs: Topics included debugging, time complexity, data structures, and basic HTML. DSA Questions: Graph-based Problem: Similar to the CSES shortest routes problem (couldn’t solve due to time constraints). Binary Search Problem: Similar to Koko Eating Bananas (solved). Dynamic Programming Problem: Similar to House Robber (solved). Out of 52 shortlisted candidates, I moved to the next round. Preparation Tips for OA: Use Striver’s A-Z DSA sheet for quick revision. Practice technical MCQs on GeeksforGeeks, Gate Smashers, or InterviewBit. Prepare for aptitude with CareerRide, IndiaBix, or PrepInsta. Round 2: Technical Interview 1 The first technical interview was conducted virtually on Unstop after a Pre-Placement Talk (PPT) by Quantiphi. Questions Asked: Resume-based Questions: In-depth discussion on projects and technologies (React, AWS, GCP, etc.). Java Questions: Explained concepts like the wrapper class, OOP principles, and inheritance with real-life examples. Git & GitHub: Explained concepts like Git Stash, merge conflicts, Git logs, and branching. ReactJS Questions: Discussed render methods, hooks (useState, useEffect, useRef), and their practical usage. Cloud Services: Shared basic knowledge of AWS and GCP (e.g., S3 buckets, EC2 instances). Project Deployment: Discussed SDLC, wireframing with Figma, and unit testing. DSA Problem: Solved a question on the largest sum contiguous subarray using an O(n) approach. Tips for this Round: Know your resume inside out. Be prepare