Interview Paths

Structured learning paths designed to help you land your dream job. Each path includes comprehensive use cases, real-world scenarios, and everything you need to ace your interviews.

🤖

AI Engineer Path

Advanced

Complete interview preparation path for AI/ML Engineer roles with real-world use cases

LLM IntegrationRAG SystemsModel Fine-tuningAI AgentsML Pipeline
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Full Stack Developer Path

Intermediate to Advanced

End-to-end preparation for Full Stack Developer interviews with system design scenarios

Frontend ArchitectureBackend APIsDatabase DesignDevOpsSystem Design
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DevOps Engineer Path

Intermediate to Advanced

Comprehensive DevOps interview preparation covering CI/CD, cloud infrastructure, and automation

CI/CD PipelinesKubernetesInfrastructure as CodeMonitoringCloud Platforms
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Data Engineer Path

Intermediate to Advanced

Master data engineering interviews with focus on data pipelines, ETL, and big data technologies

Data PipelinesETL ProcessesBig DataData WarehousingStream Processing
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Backend Specialist Path

Intermediate to Advanced

Deep dive into backend engineering with microservices, APIs, and scalable architecture

MicroservicesAPI DesignDatabase OptimizationCachingScalability
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RAG Systems Path

Advanced

Master building production RAG applications with open source tools and vector databases

Vector DatabasesEmbeddingsLangChainLlamaIndexSemantic Search
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Local LLM Path

Advanced

Deploy and optimize local LLMs using open source frameworks and quantization techniques

OllamaLM StudioQuantizationvLLMModel Optimization

Why Follow Interview Paths?

Designed to maximize your interview success

Focused Learning

Structured curriculum aligned with real job requirements from top companies

Real-World Scenarios

Practice with actual use cases and system design problems from industry

Job-Ready Skills

Build confidence to ace interviews and land offers at your dream company

More paths coming soon: Mobile Developer, Cloud Architect, Security Engineer, and more!

Company Interview Playbooks

Know exactly what to expect. Detailed interview processes, focus areas, and insider tips for top tech companies.

G

Google

Timeline: 6-10 weeks

Interview Process

  1. 1Phone Screen
  2. 2Technical Phone
  3. 3Onsite (4-5 rounds)
  4. 4Team Match
  5. 5Hiring Committee

Engineering Levels

L3 (SWE II)L4 (SWE III)L5 (Senior)L6 (Staff)L7 (Sr Staff)

Focus Areas

DSA (Heavy)System DesignGoogleyness & LeadershipCoding on Whiteboard/Docs

Insider Tips

  • Practice coding in Google Docs — no autocomplete or syntax highlighting
  • System design is expected for L4+ (SWE II and above)
  • Team matching happens AFTER passing the hiring committee
  • Ask clarifying questions — interviewers want to see your thought process

Commonly Tested Topics

Graph algorithmsDynamic ProgrammingString manipulationDistributed systems
A

Amazon

Timeline: 4-8 weeks

Interview Process

  1. 1Online Assessment
  2. 2Phone Screen
  3. 3Onsite Loop (4-5 rounds)
  4. 4Bar Raiser Round

Engineering Levels

SDE ISDE IISDE III (Senior)PrincipalSr Principal

Focus Areas

Leadership Principles (Critical)DSASystem DesignObject-Oriented Design

Insider Tips

  • Every answer should tie back to a Leadership Principle — prepare 2 stories per LP
  • The Bar Raiser is an independent evaluator — treat every round as your best
  • STAR format is expected for all behavioral questions
  • Amazon emphasizes "bias for action" and "ownership" heavily

Commonly Tested Topics

Trees & GraphsOOP DesignLeadership PrinciplesScalable systems
M

Meta

Timeline: 4-6 weeks

Interview Process

  1. 1Recruiter Screen
  2. 2Technical Phone Screen
  3. 3Onsite (3-4 rounds)
  4. 4Team Match

Engineering Levels

E3 (SWE)E4 (SWE)E5 (Senior)E6 (Staff)E7 (Sr Staff)

Focus Areas

Coding (Heavy - 2 problems in 45 min)System DesignBehavioralProduct Sense (for some roles)

Insider Tips

  • Speed matters — expect to solve 2 medium problems in 45 minutes
  • Use a real IDE (CoderPad) — practice there
  • System design focuses on Meta-scale problems (billions of users)
  • Behavioral round focuses on collaboration and conflict resolution

Commonly Tested Topics

Arrays & StringsBFS/DFSBinary TreesSocial network design

Apple

Timeline: 6-12 weeks

Interview Process

  1. 1Recruiter Call
  2. 2Technical Phone Screen
  3. 3Onsite (5-6 rounds)
  4. 4Manager Interview

Engineering Levels

ICT2ICT3ICT4 (Senior)ICT5 (Staff)ICT6 (Principal)

Focus Areas

Domain-Specific KnowledgeCodingSystem DesignTeam Fit & Culture

Insider Tips

  • Apple interviews are team-specific — each team has different focus areas
  • Deep knowledge of your domain (iOS, macOS, ML, etc.) is crucial
  • The interview process is longer and more secretive than other FAANG
  • Culture fit and attention to detail are weighted heavily

Commonly Tested Topics

Domain knowledgeAlgorithmsMemory managementConcurrency
MS

Microsoft

Timeline: 4-8 weeks

Interview Process

  1. 1Recruiter Screen
  2. 2Technical Phone Screen
  3. 3Onsite Loop (4-5 rounds)
  4. 4As Appropriate (AA) Round

Engineering Levels

SDE (59)SDE II (61)Senior (63)Principal (65)Partner (67)

Focus Areas

DSASystem DesignBehavioralCoding on Whiteboard

Insider Tips

  • The "As Appropriate" (AA) round is with a senior hiring manager — it's the final decision
  • Microsoft values collaboration and growth mindset
  • Expect whiteboard coding — practice writing code by hand
  • System design questions often relate to Azure services

Commonly Tested Topics

Binary SearchLinked ListsCloud architectureAPI design
N

Netflix

Timeline: 4-6 weeks

Interview Process

  1. 1Recruiter Screen
  2. 2Hiring Manager Call
  3. 3Technical Phone Screen
  4. 4Onsite (5-6 rounds)

Engineering Levels

Senior SWEStaff SWEPrincipal SWEDistinguished SWE

Focus Areas

System Design (Heavy)Culture FitDomain ExpertisePast Experience Deep Dive

Insider Tips

  • Netflix hires almost exclusively senior engineers — deep experience is expected
  • Read and internalize the Netflix Culture Memo before interviewing
  • System design is the primary focus — expect in-depth architecture discussions
  • Compensation is top-of-market, all cash (no RSUs option available)

Commonly Tested Topics

Distributed systemsMicroservicesStreaming architectureResilience patterns

More companies coming soon: Stripe, Uber, Airbnb, LinkedIn, Salesforce, and more!