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How to Nail your next Technical Interview

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Back-End Engineering Interview Course

Nail back-end engineering interviews at FAANG and Tier-1 Tech Companies
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Course designed and taught by instructors from FAANG & Tier-1 Tech Companies

Manoj Krishnan

Software Engineer
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Adrián Fernández

Engineering Manager
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Qiuping Xu.

Principal Data Scientist
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Back-End Engineering Course Curriculum

This is what you'll learn in our Back-End Engineering career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Back-End Engineering course and curriculum

Data structures and Algorithms
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Sorting

  • Introduction to Sorting
  • Basics of Asymptotic Analysis and Worst Case & Average Case Analysis
  • Different Sorting Algorithms and their comparison
  • Algorithm paradigms like Divide & Conquer, Decrease & Conquer, Transform & Conquer
  • Presorting
  • Extensions of Merge Sort, Quick Sort, Heap Sort
  • Common sorting-related coding interview problems
2

Recursion

  • Recursion as a Lazy Manager's Strategy
  • Recursive Mathematical Functions
  • Combinatorial Enumeration
  • Backtracking
  • Exhaustive Enumeration & General Template
  • Common recursion- and backtracking-related coding interview problems
3

Trees

  • Dictionaries & Sets, Hash Tables 
  • Modeling data as Binary Trees and Binary Search Tree and performing different operations over them
  • Tree Traversals and Constructions 
  • BFS Coding Patterns
  • DFS Coding Patterns
  • Tree Construction from its traversals 
  • Common trees-related coding interview problems
4

Graphs

  • Overview of Graphs
  • Problem definition of the 7 Bridges of Konigsberg and its connection with Graph theory
  • What is a graph, and when do you model a problem as a Graph?
  • How to store a Graph in memory (Adjacency Lists, Adjacency Matrices, Adjacency Maps)
  • Graphs traversal: BFS and DFS, BFS Tree, DFS stack-based implementation
  • A general template to solve any problems modeled as Graphs
  • Graphs in Interviews
  • Common graphs-related coding interview problems
5

Dynamic Programming

  • Dynamic Programming Introduction
  • Modeling problems as recursive mathematical functions
  • Detecting overlapping subproblems
  • Top-down Memorization
  • Bottom-up Tabulation
  • Optimizing Bottom-up Tabulation
  • Common DP-related coding interview problems

‍

System design
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Online Processing Systems

  • The client-server model of Online processing
  • Top-down steps for system design interview
  • Depth and breadth analysis
  • Cryptographic hash function
  • Network Protocols, Web Server, Hash Index
  • Scaling
  • Performance Metrics of a Scalable System
  • SLOs and SLAs
  • Proxy: Reverse and Forward
  • Load balancing
  • CAP Theorem
  • Content Distribution Networks
  • Cache
  • Sharding
  • Consistent Hashing
  • Storage
  • Case Studies: URL Shortener, Instagram, Uber, Twitter, Messaging/Chat Services
2

Batch Processing Systems

  • Inverted Index
  • External Sort Merge
  • K-way External Sort-Merge
  • Distributed File System
  • Map-reduce Framework
  • Distributed Sorting
  • Case Studies: Search Engine, Graph Processor, Typeahead Suggestions, Recommendation Systems
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Back-end Engineering Masterclass
5 weeks
5 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Database Design

  • How will you implement indexing for all the payments for an e-commerce application?
  • Comprehensive coverage of the concept of indexes, how to implement indexing, and when and when not to use indexes.
  • Interesting follow-up questions on choosing the right index for implementing queries.
  • Design a schema for Apple Music: A deep dive into Database Internals (Transactions, Indexes, and Performance)
  • Answer questions like: How to design a schema that delivers accurate and comprehensive data? How would you handle the data-flows?
  • In-depth analysis of the Star schema: How to evaluate fact tables and dimension tables? 
  • Design a payment system for Google Play Store
  • How to structure databases? When to use strict schema vs. schemaless?
  • Interesting follow-up questions on schema information: Tables, attributes, data types, and relationships
  • Design a rate limiter for a large payment processing service
  • In-depth coverage of caching, Redis, and when to implement them
  • How will you estimate critical attributes like data access latency, increased throughput, and easing of the load?
  • Design a file storage system for Dropbox
  • Deep dive into graph databases: Blob storage, storing metadata, access control
  • What are the design tradeoffs to be considered while designing the data models, permissions, and CRUD operations? 
  • Design a supply chain tracking system for Amazon
  • What is database grouping, and how does it manage data updates and logging activities?
  • Interesting follow-up questions on establishing connections and optimizing search.
2

Object Modeling

  • Build a mathematical library for a computer algebra system like Mathematica
  • How to design UML diagrams, sequence diagrams, and activity diagrams? How to define an object and its relationships?
  • Design a widget component in photo editing software.
  • Interesting interview questions on the relationships, states, and behaviors of various objects and data types.
  • Open-ended question involving design patterns: Design an online calculator
  • A deep dive into creational, behavioral, and structural design patterns
  • How to avoid common pitfalls with inheritance? 
  • Effective ways to express software behavior.
  • Exhaustive discussion on SOLID principles: How to measure design quality?
  • Top-down design problems: Build a restaurant reservation system
  • Identify objects and grouping into classes, Identify the relationships among classes, create user object model diagram, define user object attributes, and define the operations that should be performed on the classes.
  • Interesting follow-up questions on building the model, core system objects, and object relationships.
  • Deep dive into the design of a file system like FAT, NTFS, or HFS (a popular FAANG interview question)
  • Comprehensive coverage of a hierarchical/structural object pattern.
  • Open-ended questions like how to elicit requirements? What are the design considerations? How to verify the objects, their relationship, and behavior using the conceptual model.
3

API Design

  • Design an API for a weather application using REST and non-REST architecture styles
  • How to design open, usable, and scalable APIs? A deep dive into the usability aspect of APIs.
  • What are the problems with non-REST APIs? A deep dive into RESTful design.
  • Interview-relevant case studies: AccuWeather's API as a product
  • Evaluating APIs design, implementation, launch, and maintenance as a product.
  • Design a conversation management API for applications like Quora or Glassdoor 
  • In-depth coverage of the HATEOAS/link relationships, resource representation/uniform interface.
  • Interesting follow-up discussion on API proxies, proxy and target endpoints, environment groups, route rules, target servers, conditions, flows, and policies.
  • Design case study on API authentication and authorization
  • What are the different tools? When to use each authentication method? And what are the types of authorization?
  • Design an API for the library management system: A deep dive into designing a resource model
  • How to design APIs and resources through decomposition and communication strategies
  • Interesting follow-up questions on REST API response design, API products, API keys, and API product strategies
  • Design an API for e-book application and invoice generation for orders
  • Comprehensive coverage of API design guidelines, API lifecycle, and versioning
  • Best practices for API design and fundamentals
  • How to test an API for security threats? Understanding the threats and working on steps to prevent security threats: XSS, CSRF, SQL injection, input sanitization
4

Cloud-Native Design

  • Deep dive into the design of a cloud-native application: Why cloud-native design over other architecture designs? What are the cloud services utilized in this design?
  • Interesting follow-up questions: How to build for automation? How to be stateless? How to design for resilience? Which architecture is best for different components?
  • Monolithic vs. Microservices Architecture: Demonstrating code for user messaging APIs in both scenarios
  • Case study on Docker and Containerization: Docker containers vs. serverless. What is the functionality of a hypervisor?
  • Questions on CI/CD and common challenges faced in CI/CD 
  • Best practices in cloud: How to scale APIs, databases?
  • Deep dive into cloud-native design patterns: Introducing scenarios — leader election, circuit breaker, health endpoint monitoring, caching
5

Concurrency

  • Frequently asked questions on concurrency: Where do we need concurrency primitives? What is the difference between parallelism and concurrency?
  • Implementing threads
  • A deep dive into mutex and conditional variables and fundamental interview questions: How to get access to the resources? How does mutex protect the conditional variable?
  • How do Mutual Exclusion, Hold and Wait, No Preemption, and Circular Wait conditions affect concurrent processes?
  • Simulated FAANG interview questions: A process with n threads, all have entered the DEADLOCK state. How to recover all the threads?
  • In-depth coverage of fundamental concepts like lazy initialization, synchronization, observables, and observers.
  • How to encounter the deadlock situation? What causes deadlocks? How to prevent deadlocks from occurring?
  • Case study on designing and implementing a small utility using a CountDownLatch for timing the concurrent execution for a given number of threads
  • Deep-dive into MapReduce paradigm.
  • Interview strategies: What questions can be asked? How to approach questions related to inter-thread communication, consumer-producer problem, read-write locks, concurrent hashmaps, and distributed concurrency?
  • Nontrivial questions on distributed transactions: What properties govern transaction reliability? What are the characteristics of data inconsistency? What is transaction isolation, and how would you use it for concurrency control?
Career Coaching
3 weeks
3 live classes
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

Interview Preparation

Interview Questions
Placement assistance
Behavioral Coaching
2

Resume & LinkedIn Masterclass

3

Salary Negotiation Masterclass

‍

Support Period
6 months
1

Online Processing Systems

Common Scalable Concepts like DBs, Cache, Messaging Queue, etc., and Common Design Problems
2

Batch Processing Systems

Batch Processing Concepts in-depth and Common Design Problems for FAANG+ interviews
3

Stream Processing Systems

  • Case Studies: on APM, Social Connections, Netflix, Google Maps, Trending Topics, YouTube
Design real-time data-intensive applications like Google Maps, Netflix, etc.
1

15 mock interviews

2

Take classes you missed/retake classes/tests

3

1:1 technical/career coaching

4

Interview strategy and salary negotiation support

‍

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Best Suited for

  • Back-end developers
  • Software engineers working on the back-end side of implementation

Back-End Engineering Interview Process at Tier-1 Companies

We prepare you for all stages of a typical back-end engineering interview process at FAANG and Tier-1 companies

Initial Technical Screening

  • A coding round (and a discussion of your past projects).

Behavioral Interview

  • Questions related to your job experience 
  • Discussions on past projects
  • Open-ended questions to gauge if you're a "good fit"

Onsite Rounds

  • 2-3 Coding Rounds:
    DSA-based coding rounds (the difficulty level may increase depending on your experience)
  • 1-2 Scalable Systems Design Rounds:
    The number of design rounds typically increases with your work experience and applied level. Back-end engineers are expected to explain low-level design aspects as well

‍

Top companies love hiring our candidates
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Top companies love hiring our candidates!

10K+

Experienced engineers enrolled

7

Years of successful training in Silicon Valley

18

Highest number of offers received by an alum

5

Avg years of experience of our alumni
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What our students say

Akshay Lodha
Data Engineer
Offers from
Google_logo

"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."

Sujay Ghosh
Software Development Manager
Offers from
Google_logo

“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”

Rupesh Dabbir
Offers from
Google_logo

Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.

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