Cracking an interview at Uber is a dream for many software developers. I recently had the opportunity to participate in the Uber SDE-1
placement.
Although I didn't make it to the final round, the experience taught me a lot about where I stood, how Uber evaluates candidates
and what to improve for the future. Here's my complete Uber interview experience with interview questions.
Even though I couldn't clear all rounds, I consider this interview a valuable experience to assess my strengths and weaknesses.
It showed me exactly what I needed to improve for future interviews.
This was a moderate-level test. With a decent command of Linux, DSA and basic programming, you can comfortably crack it.
Coding Problems:
1. Longest Common Subsequence
Difficulty: Moderate
Given two strings, find the length of their longest subsequence that appears in both strings (not necessarily contiguous).
Input: s1 ="abcde", s2 ="ace"Output:3Explanation:LCS is "ace"
My Approach:
Recognized it as a Dynamic Programming problem.
Created a 2D DP array (dp[i][j]) to store intermediate results.
The answer was found at the bottom-right cell of the DP matrix.
2. Rearrange Linked List
Difficulty: Moderate
Reorder a singly linked list such that all nodes from the second half are reversed and merged alternately with nodes from the
first half.
Input:1->2->3->4->5Output:1->5->2->4->3
Concepts: Linked List Manipulation, Reversal, Two-Pointer
My Approach:
Find the middle of the linked list.
Reverse the second half.
Merge both halves alternately.
Round 2 : Technical Round (Medium)
Duration: 60 Minutes
Format: 2 Problems + Conceptual Questions
This round tested both data structure understanding and database knowledge.
Coding Problems:
1. Deletion in Doubly Linked List
Difficulty: Easy
Delete a given node from a doubly linked list while maintaining proper link connections.
My Approach:
Update the next of the previous node and the prev of the next node to skip the target node.
Handle edge cases for head or tail deletion.
Interviewer wants to understood my knowledge on node connections and pointer adjustments. Interviewer also discussed self-balancing tree concepts
related to efficient data management.
2. SQL Question
Problem:
Write a query to find the student with the second-highest marks.
My Approach:
Used a nested query to exclude the maximum and then find the next maximum.
SELECTMAX(marks)FROM students
WHERE marks <(SELECTMAX(marks)FROM students);
Round 3 : System Design
Duration: 60 Minutes
1. System Design : Online Food Delivery System (Moderate)
Design a scalable food delivery platform like Uber Eats or DoorDash that supports user interaction, order management,
delivery tracking and payments.
Key Considerations:
Users: Customers, Restaurants and Delivery Partners
Features: Search restaurants, place orders, real-time delivery tracking and secure payments
API flow and user interface considerations
Real-time updates for tracking
Database Design:
Tables for Users, Orders, Restaurants, Menus and Deliveries
Scalability:
Use caching, load balancers and a microservices-based architecture
Cracking an interview at Uber is a dream for many software developers. I recently had the opportunity to participate in the Uber SDE-1\nplacement.\nAlthough I didn't make it to the final round, the experience taught me a lot about where I stood, how Uber evaluates candidates\nand what to improve for the future. Here's my complete Uber interview experience with interview questions.
Even though I couldn't clear all rounds, I consider this interview a valuable experience to assess my strengths and weaknesses.\nIt showed me exactly what I needed to improve for future interviews.
This was a moderate-level test. With a decent command of Linux, DSA and basic programming, you can comfortably crack it.
\n
Coding Problems:
\n
1. Longest Common Subsequence
\n
\n
Difficulty: Moderate
\n
\n
Given two strings, find the length of their longest subsequence that appears in both strings (not necessarily contiguous).
\n
\nInput: s1 =\"abcde\", s2 =\"ace\"\nOutput:3\nExplanation:LCS is \"ace\"\n
\n
My Approach:
\n
\n
\n
Recognized it as a Dynamic Programming problem.
\n
\n
\n
Created a 2D DP array (dp[i][j]) to store intermediate results.
\n
\n
\n
The answer was found at the bottom-right cell of the DP matrix.
\n
\n
\n
2. Rearrange Linked List
\n
\n
Difficulty: Moderate
\n
\n
Reorder a singly linked list such that all nodes from the second half are reversed and merged alternately with nodes from the\nfirst half.
\n
\nInput:1->2->3->4->5\nOutput:1->5->2->4->3\n
\n
Concepts: Linked List Manipulation, Reversal, Two-Pointer
\n
My Approach:
\n
\n
\n
Find the middle of the linked list.
\n
\n
\n
Reverse the second half.
\n
\n
\n
Merge both halves alternately.
\n
\n
\n
Round 2 : Technical Round (Medium)
\n
\n
Duration: 60 Minutes
\n
Format: 2 Problems + Conceptual Questions
\n
\n
This round tested both data structure understanding and database knowledge.
\n
Coding Problems:
\n
1. Deletion in Doubly Linked List
\n
\n
Difficulty: Easy
\n
\n
Delete a given node from a doubly linked list while maintaining proper link connections.
\n
My Approach:
\n
\n
\n
Update the next of the previous node and the prev of the next node to skip the target node.
\n
\n
\n
Handle edge cases for head or tail deletion.
\n
\n
\n
Interviewer wants to understood my knowledge on node connections and pointer adjustments. Interviewer also discussed self-balancing tree concepts\nrelated to efficient data management.
\n
2. SQL Question
\n
Problem:
\n
Write a query to find the student with the second-highest marks.
\n
My Approach:
\n
\n
Used a nested query to exclude the maximum and then find the next maximum.
\n
\n
\nSELECTMAX(marks)\nFROM students\nWHERE marks <(SELECTMAX(marks)FROM students);\n
\n
Round 3 : System Design
\n
\n
Duration: 60 Minutes
\n
\n
1. System Design : Online Food Delivery System (Moderate)
\n
Design a scalable food delivery platform like Uber Eats or DoorDash that supports user interaction, order management,\ndelivery tracking and payments.
\n
Key Considerations:
\n
\n
\n
Users: Customers, Restaurants and Delivery Partners
\n
\n
\n
Features: Search restaurants, place orders, real-time delivery tracking and secure payments
\n
\n
\n
API flow and user interface considerations
\n
\n
\n
Real-time updates for tracking
\n
\n
\n
Database Design:
\n
\n
Tables for Users, Orders, Restaurants, Menus and Deliveries
\n
\n
Scalability:
\n
\n
Use caching, load balancers and a microservices-based architecture
\n
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