Netflix, the top video streaming service in the world was founded in 1997 and started out by shipping DVDs to customers by mail. Now it consumes more than 15 percent of the world’s internet bandwidth and has subscribers in more than 190 countries. This sheet will assist you to land a job at Netflix, we have compiled all the interview questions and answers.
Netflix SDE Sheet
The hiring process of Netflix is unique. It hires for teams so each interview process is different. What’s unique:
- They generally don’t hire new graduates or interns. They tend to hire those who have at least 3 years of experience.
- Culture fit: It is an important aspect of the interview. They have an entire document dedicated to their culture and values. If you want a job at Netflix you must thoroughly go through it.
- The on-site is split into two sections. 50% technical and 50% behavioral. You will be sent home if you don’t perform well in the first half.
Following is the hiring process:
Netflix SDE Roadmap
- Prescreen with a recruiter: Your initial phone screen will be around 30 minutes when the recruiter will dig into your resume and ask questions about your past projects and cultural fit.
- Phone call interview: It will be a 45-60 minute phone call with the hiring or engineering manager. It will involve some more open-ended technical questions, technology-specific questions, as well as a shared editor exercise where you’ll have to solve a coding challenge.
- On-site interview Part 1: It will be more technical with a mix of cultural questions where you’ll meet with peers and members of the team. It will involve 4 interviews of 45 min mostly 1:1 or 2:1. It will have technical questions, whiteboarding exercises, and cultural fit questions.
- On-site interview Part 2: It will have around three interviews at about 45 minutes each. One with HR, one with the hiring manager (who makes the decision), and one with the engineering manager. First, two will mostly have behavioral questions. The engineering manager round will be more technical, mostly open-ended questions about things on your resume, and Netflix-specific questions.
Why this sheet?
This sheet is a collection of all popular and important coding questions that have been asked in the Netflix technical interviews so far. Questions here are grouped topic-wise based on the DSA category they fall into. It covers mostly all important DSA topics that are given emphasis in Netflix interviews.
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Many people are very afraid of behavioral interview questions in technical interviews as they seem to be just something most programmers are not good at.
Unlike technical questions, which are very standard and usually have clear answers, behavioral interview questions are much more flexible and sometimes may make candidates quite uncomfortable. We have tips for Prepare Behavioural Interview Questions
Technical Phone Screening
Even though telephonic interviews have many benefits, including the flexibility to attend from anywhere and the ability to go back to notes, there are still some complexity and problems that are part of them, so you must be ready for them if you want to be approved for final selection.
We have prepared tips to crack a telephonic Interview.
Array: An array is a collection of items stored at contiguous memory locations. The idea is to store multiple items of the same type together.
Strings: Strings are defined as an array of characters. The difference between a character array and a string is the string is terminated with a special character ‘\0’.
Linked List: A linked list is a linear data structure, in which the elements are not stored at contiguous memory locations.
Stack and Queue:
- Stack: A stack is a linear data structure in which elements can be inserted and deleted only from one side of the list, called the top. A stack follows the LIFO (Last In First Out) principle.
- Queue: A queue is a linear data structure in which elements can be inserted only from one side of the list called the rear, and the elements can be deleted only from the other side called the front. The queue data structure follows the FIFO (First In First Out) principle.
Searching: Searching Algorithms are designed to check for an element or retrieve an element from any data structure where it is stored.
Sorting: The sorting Algorithm is used to rearrange a given array or list of elements according to a comparison operator on the elements.
Hash and Heap:
Hash: Hashing is a popular technique for storing and retrieving data as fast as possible.
Heap: Heap is a special case of balanced binary tree data structure where the root-node key is compared with its children and arranged accordingly
Trees: A tree is non-linear and a hierarchical data structure consisting of a collection of nodes such that each node of the tree stores a value, a list of references to nodes (the “children”).
Graph: A Graph is a non-linear data structure consisting of nodes and edges. The nodes are sometimes also referred to as vertices and the edges are lines or arcs that connect any two nodes in the graph.
Dynamic Programming: Dynamic Programming is mainly an optimization over plain recursion. Wherever we see a recursive solution that has repeated calls for the same inputs, we can optimize it using Dynamic Programming.
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