Skip to main content

Company-Specific Interview Preparation

Each company has unique interview processes, culture, and focus areas for platform engineering roles. This guide provides detailed preparation strategies for major tech companies.

Interview Process Overview​

Most platform engineering interviews follow this pattern:

  1. Recruiter Screen (30 min)
  2. Technical Phone Screen (45-60 min)
  3. Onsite/Virtual Loop (4-6 hours)
    • Coding rounds (1-2)
    • System design (1-2)
    • Behavioral (1-2)
    • Domain expertise/Architecture

FAANG+ Companies​

Amazon Web Services (AWS)​

Interview Process:

  • Phone Screen: 1-2 technical rounds
  • Onsite: 5-6 rounds (Loop)
  • Strong focus on Leadership Principles

Technical Focus Areas:

  • Deep AWS services knowledge
  • Distributed systems at scale
  • Cost optimization
  • Security best practices
  • Infrastructure as Code

Leadership Principles Deep Dive:

Key LPs for Platform Engineers:
1. Customer Obsession - Internal customers are developers
2. Ownership - End-to-end infrastructure ownership
3. Invent and Simplify - Automate and improve
4. Are Right, A Lot - Technical decision making
5. Learn and Be Curious - Keep up with tech
6. Hire and Develop the Best - Mentoring
7. Insist on the Highest Standards - Reliability
8. Think Big - Scalable solutions
9. Bias for Action - Quick iterations
10. Frugality - Cost optimization
11. Earn Trust - Reliable platforms
12. Dive Deep - Debugging complex issues
13. Have Backbone; Disagree and Commit
14. Deliver Results - Uptime, performance

STAR Method Examples:

Situation: Our deployment pipeline took 2 hours
Task: Reduce deployment time by 75%
Action: 
- Analyzed bottlenecks (Dive Deep)
- Implemented parallel builds
- Optimized Docker layers
- Added caching strategies
Result: Reduced time to 25 minutes, saved $50k/year

Preparation Resources:

Google/Google Cloud​

Interview Process:

  • Phone Screen: 1-2 technical rounds
  • Onsite: 4-5 rounds
  • Strong focus on algorithms and scale

Technical Focus Areas:

  • Large-scale distributed systems
  • SRE practices and principles
  • Algorithm efficiency
  • Networking at scale
  • Data processing pipelines

Googleyness & Leadership:

  • Collaboration over competition
  • Innovation and creativity
  • Comfort with ambiguity
  • Acting with the user in mind
  • Doing the right thing

System Design Topics:

Common Google System Design Questions:
1. Design a global load balancer
2. Build a distributed cron scheduler
3. Design YouTube's video processing pipeline
4. Create a global CDN
5. Build Google Drive's sync system

Coding Focus:

  • More algorithmic than other companies
  • Focus on optimization
  • Clean, readable code
  • Test cases expected

SRE-Specific Topics:

  • Error budgets
  • SLIs, SLOs, SLAs
  • Toil reduction
  • Postmortem culture
  • Monitoring and alerting

Preparation Resources:

Meta (Facebook)​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 4-5 rounds (Ninja, Pirate, Jedi)
  • Focus on practical coding and scale

Technical Focus Areas:

  • High-performance systems
  • Service mesh and microservices
  • Chaos engineering
  • Container orchestration
  • Real-time data processing

Core Values Alignment:

  • Move Fast
  • Be Bold
  • Focus on Impact
  • Be Open
  • Build Social Value

Coding Interview Style:

# Meta prefers practical problems
# Example: Rate limiter for API

class RateLimiter:
    def __init__(self, requests_per_minute):
        self.rpm = requests_per_minute
        self.requests = deque()
    
    def allow_request(self, timestamp):
        # Remove old requests
        while self.requests and \
              self.requests[0] <= timestamp - 60:
            self.requests.popleft()
        
        if len(self.requests) < self.rpm:
            self.requests.append(timestamp)
            return True
        return False

System Design Focus:

  • News Feed infrastructure
  • Live video streaming
  • Global messaging system
  • Photo/video storage
  • Social graph queries

Preparation Resources:

Microsoft Azure​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 4-5 rounds
  • "As Appropriate" (AA) round with senior person

Technical Focus Areas:

  • Azure services expertise
  • Hybrid cloud scenarios
  • Enterprise integration
  • Security and compliance
  • PowerShell/C# often expected

Culture and Values:

  • Growth mindset
  • Customer obsessed
  • Diversity and inclusion
  • One Microsoft
  • Making a difference

Common Interview Topics:

Platform Engineering at Microsoft:
1. Azure Kubernetes Service design
2. Hybrid cloud with Azure Arc
3. Azure DevOps pipelines
4. Identity and access management
5. Enterprise-scale architectures

Behavioral Questions:

  • "Tell me about a time you failed"
  • "How do you handle disagreements?"
  • "Describe mentoring junior engineers"
  • "Example of customer obsession"

Preparation Resources:

Apple​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 6-8 rounds (longer day)
  • Very technical, less behavioral
  • Team matching after passing

Technical Focus Areas:

  • Low-level systems knowledge
  • Performance optimization
  • Security and privacy
  • Automation at scale
  • Often Swift/Objective-C knowledge helpful

What Apple Looks For:

  • Technical excellence
  • Attention to detail
  • Privacy and security mindset
  • Innovation
  • Collaboration

Unique Aspects:

  • More secretive culture
  • Focus on end-user experience
  • Hardware/software integration
  • Performance critical

Preparation Tips:

  • Deep technical knowledge required
  • Be ready for low-level questions
  • Understand Apple's ecosystem
  • Privacy and security are paramount

High-Growth Tech Companies​

Netflix​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 4-5 rounds
  • Strong culture fit assessment

Technical Focus:

  • Chaos engineering (created Chaos Monkey)
  • Microservices at scale
  • CDN and video streaming
  • AWS expertise
  • Data-driven decisions

Culture Deck Highlights:

  • Freedom and Responsibility
  • Context, not Control
  • Highly Aligned, Loosely Coupled
  • Pay Top of Market

Platform Engineering Topics:

Netflix-Specific Challenges:
1. Global content delivery
2. Personalization infrastructure
3. A/B testing at scale
4. Resilience engineering
5. Multi-region active-active

Preparation Resources:

Stripe​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 5-6 rounds
  • Very high technical bar
  • Focus on API design

Technical Focus:

  • API design and reliability
  • Financial systems requirements
  • Security and compliance
  • Database consistency
  • Real-time processing

What Makes Stripe Different:

  • Engineering excellence
  • API-first mindset
  • Developer experience focus
  • Financial domain knowledge
  • Global scale challenges

Common Topics:

# Stripe loves clean API design
class PaymentProcessor:
    def __init__(self, api_key):
        self.api_key = api_key
        self.idempotency_keys = {}
    
    def charge(self, amount, currency, source, 
               idempotency_key=None):
        if idempotency_key:
            if idempotency_key in self.idempotency_keys:
                return self.idempotency_keys[idempotency_key]
        
        # Process payment
        result = self._process_payment(amount, currency, source)
        
        if idempotency_key:
            self.idempotency_keys[idempotency_key] = result
        
        return result

Uber​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 5-6 rounds
  • Architecture deep dive
  • Focus on scale and reliability

Technical Focus:

  • Geo-distributed systems
  • Real-time processing
  • Mobile backend infrastructure
  • Microservices architecture
  • Surge pricing algorithms

Platform Challenges:

  • Location-based services
  • Real-time matching
  • Payment processing
  • Multi-sided marketplace
  • Global scale

Airbnb​

Interview Process:

  • Phone Screen: 1-2 rounds
  • Onsite: 4-5 rounds
  • Strong culture fit ("Champion the Mission")
  • Cross-functional collaboration

Technical Focus:

  • Service-oriented architecture
  • Search infrastructure
  • Payments and trust
  • Internationalization
  • Machine learning infrastructure

Core Values:

  • Champion the Mission
  • Be a Host
  • Embrace the Adventure
  • Be a Cereal Entrepreneur

Startups​

Series A-C Startups​

What to Expect:

  • Less structured process
  • Direct interaction with founders/CTO
  • Practical, hands-on problems
  • Architecture discussions
  • Culture fit crucial

Common Patterns:

  • Take-home projects
  • Pair programming
  • Architecture reviews
  • Team collaboration assessment

What They Look For:

  • Ownership mentality
  • Scrappy problem-solving
  • Wearing multiple hats
  • Growth potential
  • Culture add

Unicorns (Databricks, Snowflake, etc.)​

Technical Bar:

  • Similar to FAANG
  • Domain expertise valuable
  • Scale challenges
  • Innovation mindset

Compensation:

  • Competitive with FAANG
  • Significant equity component
  • High growth potential

Interview Preparation by Company Type​

Enterprise Tech (IBM, Oracle, SAP)​

Focus Areas:

  • Enterprise architecture
  • Legacy system integration
  • Compliance and security
  • Professional services mindset
  • Long-term stability

Interview Style:

  • More traditional
  • Certifications valued
  • Enterprise experience important
  • Stakeholder management

Cloud Providers Direct​

AWS/GCP/Azure Teams:

  • Deep cloud expertise
  • Customer-facing skills
  • Solution architecture
  • Best practices evangelism
  • Technical writing

Preparation Timeline​

8 Weeks Before​

Week 1-2: Research

  • Study company tech blog
  • Understand their infrastructure
  • Learn their tech stack
  • Review job description deeply

Week 3-4: Technical Prep

  • Practice relevant coding problems
  • Review system design basics
  • Study company-specific technologies
  • Mock interviews

4 Weeks Before​

Week 5-6: Deep Dive

  • Company-specific system design
  • Behavioral story preparation
  • Technical deep dives
  • Reach out to employees

Week 7-8: Polish

  • Mock interviews with feedback
  • Refine behavioral stories
  • Review and practice weak areas
  • Prepare questions to ask

Resources by Company​

Technical Blogs​

Company Engineering Blogs​

Interview Experiences​

Mock Interview Platforms​

Key Takeaways​

  1. Each company has unique culture and values - Align your responses accordingly
  2. Technical bar varies - FAANG and unicorns typically highest
  3. Preparation is key - Company-specific research pays off
  4. Culture fit matters - Especially at smaller companies
  5. Use the right resources - Company blogs and talks are goldmines
  6. Network helps - Referrals and insider knowledge valuable
  7. Practice with purpose - Target company-specific scenarios

Remember: The best preparation combines technical excellence with understanding of company culture and values. Tailor your approach to each company while maintaining authenticity.