Practice real interview problems from Lenskart
| Status | Title | Solution | Practice | Difficulty | Companies | Topics |
|---|---|---|---|---|---|---|
| 92. Reverse Linked List II | Solution | Solve | Medium | 1218 Global+122 | ||
| 146. LRU Cache | Solution | Solve | Medium | Accolite+56 | ||
| 300. Longest Increasing Subsequence | Solution | Solve | Medium | Accenture+78 |
Lenskart is one of India’s fastest‑growing consumer tech companies, powering large‑scale e‑commerce, AR‑based virtual try‑on, and supply chain systems for eyewear retail. Because of this strong tech backbone, Lenskart’s engineering interviews focus heavily on practical data structures and algorithms that reflect real backend and platform challenges.
The Lenskart coding interview typically evaluates a candidate’s ability to write clean, efficient code and reason through optimization problems. Candidates are often asked to solve algorithmic problems involving arrays, strings, hash maps, and graph traversal. Interviewers also expect strong problem‑solving communication and the ability to discuss trade‑offs between brute force and optimized solutions.
A typical interview process includes an online coding assessment followed by multiple technical rounds. In these rounds, engineers evaluate DSA fundamentals along with practical software engineering thinking. While the problems are generally easy to medium difficulty, interviewers expect strong clarity of approach and edge‑case handling.
Commonly tested areas include:
FleetCode helps you prepare specifically for these patterns by curating real Lenskart interview questions and grouping them by difficulty and topic. Each problem includes step‑by‑step explanations and optimized solutions in Python, Java, and C++, helping you understand not just the answer but the reasoning interviewers expect.
If you’re preparing for a Lenskart engineering role, practicing company‑specific problems like these can significantly increase your confidence and help you recognize patterns quickly during the interview.
Preparing for a Lenskart coding interview requires a strong foundation in core data structures along with the ability to write clean and optimized code during live problem solving.
Typical Lenskart interview process:
Most common problem categories at Lenskart:
Many Lenskart questions start with a simple brute force idea and expect candidates to improve it using hashing or pointer techniques. Interviewers pay close attention to whether you can identify inefficiencies and optimize your solution.
Preparation strategy:
Common mistakes to avoid:
Most candidates can prepare effectively for Lenskart within 4–6 weeks if they consistently practice DSA problems and mock interviews. Focusing on pattern recognition and communication during problem solving can make a major difference in your performance.
