Sr. Software Engineer
Interview Date
August 2025
Result
Not Specified
Difficulty
Hard
Rounds
5 rounds
Drive Type
Full-Time
Topics asked
Detailed experience
College: Not Specified
Interview Date: August 2025
Interview Type: Full-Time
Result: Not Specified
Difficulty: Hard
Rounds: 5 rounds
Topics Asked: Data Structures (Array, Greedy, DP), Algorithms (Binary Search), System Design, Object-Oriented Programming (ORM, eager/lazy loading, Hibernate), Projects (React, Spring Boot, AWS, Docker), Behavioral.
This experience is for a Senior Software Engineer with 3.5+ years of experience at Visa in August 2025.
Round 0: Recruiter Screening: The recruiter called to understand work experience, current and expected CTC, and the tech stack.
Round 1: Technical Assessment: This was an Online Coding round on the Codesignal platform, assessing basic coding, implementation, data structures, and problem-solving. It consisted of 4 questions in 70 minutes: 2 on Arrays, 1 on Greedy algorithms, and 1 on Dynamic Programming (DP). The passing criteria were solving 3 questions fully and clearing 80% test cases for the last question. The candidate cleared this round.
Round 2: Technical Interview-1 (45 mins): This round focused on system design concepts and past work experience. It began with a self-introduction, followed by a discussion of a project built with React, Spring Boot, AWS, and Docker. In-depth questions were asked about Spring Boot features like ORM, differences between eager and lazy loading, and pros and cons of Hibernate. A binary search problem similar to "Minimum Number of Days to Make m Bouquets" was also given, which the candidate solved by explaining their approach clearly.
Round 3: Technical Interview-2 (45 mins): Details for this round are not explicitly provided in the snippet, but it would typically involve more technical problem-solving or in-depth discussions.
Round 4: Managerial Round (45 mins) - Technical + Behavioral: This round likely combined technical discussions with behavioral questions to assess leadership, team fit, and problem-solving in a broader context.