Security Engineering Interview Course

Nail Security 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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Security Engineering Course Curriculum

This is what you'll learn in our security engineering career path!

  • 15 Mock Interviews
  • 6-Month Support Period

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Security 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
Security Engineering
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

Applied Cryptography

  • Deep dive into symmetric and asymmetric Cryptography techniques
  • Discussion on ideal Cryptography outcomes: Confidentiality, Authenticity, Integrity, and Non-repudiation
  • Detailed analysis of symmetric vs. asymmetric Cryptography 
  • Discussion on interesting interview questions:
  • What would it take to break RSA? 
  • How can one perform a MITM attack on all HTTPS traffic? Is it even possible?
  • Explain why the length of the key does matter?
  • The brain behind Cryptography: Avalanche Effect, Hash Functions, Hash Collision
  • Deep dive into Public Key Infrastructure and PKI standards
  • Different methods for authentication: Kerberos, SAML, OAuth 2.0, JSON Web Token
  • Protocols for enhancing network security: TLS (Transport Layer Security), IPSec, Secure Shell (SSH)
2

Network Security

  • Develop critical thinking on networks: deep dive into OSI layers
  • Comprehensive coverage - ARP, IP & MAC, Protocols, Firewall placement, TCP, etc.
  • Important interview questions on a secure Wi-fi connection, pre-shared key, firewalls, and many other network security topics
  • Important steps to secure DNS and DHCP servers
  • Discussion on multiple network security components: IDS, IPS, Firewall, and VPN
  • Challenging assignments on DNS poisoning, SYN/ACK flood attack
3

Cloud Security

  • Detailed analysis of stages where one needs to protect the data: 
  • Data-at-rest, 
  • Data-in-transit, 
  • Data-in-use
  • Security challenges in the cloud: shared security model
  • Deep dive into common cloud security mistakes: granting public access to data, Disabled logging and monitoring, and many more
  • Top attacks on the cloud: DDoS and its types
  • Discussion on Identity and Access Management in cloud
  • The interview focused on open-ended assignments and challenging questions:
  • As a consultant, how would you improve client cloud security posture?
  • How would you secure a cloud containerized environment?
  • Why is tagging important when it comes to cloud environments?
4

Application Security

  • Focus on building a security mindset for developing secure applications
  • Challenging assignment based on real-life scenarios: Music streaming API security
  • Deep dive into application security principles: Threat Modeling, OWASP Top 10
  • Discussion on code reviews questions: Identify security flaws in the given code (most frequently asked in FAANG+)
  • Case studies on application security flaws:
  • Link Shortening
  • IDOR
  • User-Facing Authentication
  • Discussion on important security frameworks to keep your application secure
  • STRIDE
  • CHIRPS
5

Security Themed Coding, Code Reviews, Secure System Design, and Security Policies

  • Deep dive into secure coding principles - checkpoints and best practices for developers to develop more secure code/program
  • Discussion on various attack vectors and common software vulnerabilities
  • Threat modeling to create secure code
  • Various examples of secure and insecure codes
  • Mitigation strategies 
  • Discussion on open-ended interview questions
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

  • Current or Former Security Engineers, Application Security Engineers, Security Architects, Security Support Engineers
  • Application, System, or Network Support Engineers
  • Test Engineers
  • Site Reliability Engineers

Security Engineering Interview Process at Tier-1 Companies

We prepare you for all stages of a typical Security Engineering interview process at FAANG and Tier-1 companies

Initial Technical Screening

  • Involves a coding round and a few questions testing your knowledge of security topics.

Behavioral Round

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

4-5 Onsite Rounds

  • 1-2 General Coding Rounds: Coding rounds based on data structures and algorithms. The questions are usually Leetcode problems of easy to medium difficulty.
  • 1 Security Coding Round: Review a code snippet to find vulnerabilities it contains or security-themed coding questions focusing on text parsing and manipulation, basic data structures, and simple logic flows.
  • 1-2 System Design Rounds: Design systems to secure various applications. The solution is evaluated on all aspects: network, system, application, and information security.

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

What our students say

Neelesh Tendulkar
Offers from
Google_logo

Each instructor-led session was packed with information and there were lots of problems to practice. The course was intense, but it was a great use of my time.

Davide Testuggine
Applied Research Scientist
Offers from
Google_logo

“The course was very intense. During the two months it lasted, I would easily work 2+ hours every day, weekends included, on the homework problems. This course is just practice, practice, practice. And it works! Fast forward a couple of weeks, and I accepted my offer with Facebook.”

Ajay Eppili
Lead Software Engineer
Offers from
Google_logo

“Before Interview Kickstart, I had trouble with system design interviews. After going through the program, the structure of the curriculum helped me in understanding system design. After Interview Kickstart, I was able to get into Salesforce.”

Frequently Asked Questions