“Tell me about a time you rewrote a critical system.”
Sounds like a standard interview question. But when elite tech companies’ engineering teams ask it (think Stripe and Google), they’re not just collecting war stories—they’re evaluating how candidates balance technical debt against business needs, handle stakeholder communication, and approach large-scale architectural decisions.
This level of intentional evaluation separates companies that consistently hire exceptional engineers from those that merely collect impressive resumes.
After vetting thousands of developers and maintaining a ruthlessly selective 1.2% acceptance rate, we know what actually works in technical interviews. While other companies collect resumes, we’ve built evaluation frameworks (and questions) that separate truly exceptional engineers from those who just interview well.
Here’s how the tech giants do it right—and how most companies get it completely wrong.
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What Tech Giants Ask (And Why)
Tech giants don’t write their real engineering values in mission statements—they encode them in interview questions. Each brain-bending puzzle and system design challenge is a carefully crafted test of how engineers think, solve, and scale.
Here’s what these questions actually reveal about building engineering teams that ship groundbreaking tech.
Google: Breaking Developers Since 1998
Forget LeetCode—Google’s questions expose your true understanding of computer science fundamentals. With the industry’s hardest technical interviews (3.5/5 difficulty on Glassdoor), it’s notorious for questions that seem simple until they’re not.
Take its binary tree challenge: “Find the maximum path sum between any two nodes.” Just when you’ve handled the basics, it’ll ask about negative values and empty trees.
Or its infamous “rotating numbers” problem, where identifying valid 180-degree rotations (6 becoming 9) is just the warmup—the real challenge is finding all such numbers up to N.
Even its room-cleaning robot problem is deceptively complex: design an algorithm for a robot that can only move forward and turn, has no GPS, and doesn’t know the room’s layout.
These questions test multiple dimensions at once: CS fundamentals, algorithmic thinking, and optimization skills. Google wants more than correct answers—they want to see how you handle complexity while maintaining performance.
That’s why 40% of questions focus on graphs and trees: nothing reveals engineering excellence quite like keeping O(log n) performance while traversing n-dimensional space.
Netflix: Where Infrastructure is Everything
Netflix’s interviews are unique—it cares more about system design than any other tech giant. Why? Because when you’re serving millions of concurrent video streams, system design isn’t theoretical—it’s survival.
Real Netflix Question: “How would you handle a DDoS attack on Netflix’s streaming service?”
What makes this question brilliant:
- It tests security knowledge
- It reveals how you handle crisis scenarios
- It shows if you understand Netflix’s actual challenges
The candidates who succeed don’t just regurgitate textbook answers about rate limiting. They demonstrate a deep understanding of distributed systems, failover strategies, and real-world incident response.
SpaceX: When Code Controls Rockets
SpaceX doesn’t have time for academic exercises—it’s building rockets. Its questions reflect this reality-first mindset.
Real SpaceX question: “Design an inventory system for tracking temperature-sensitive rocket parts.”
What makes this different:
- It combines software and physical systems
- It has real safety implications
- It requires an understanding of actual engineering constraints
The best candidates don’t just show coding ability—they demonstrate systems thinking and a safety-first mindset that’s crucial when your code controls actual rockets.
The Science of Technical Questions (That Most Companies Ignore)
Let’s talk about the elephant in the interview room: Most technical interviews are a waste of everyone’s time. They’re either academic exercises that test memorization or vague conversations that reveal nothing.
After conducting thousands of interviews, we found how to “build” questions that strip away the facade and reveal true engineering talent.
The Five Commandments of Interview Questions
Great interview questions aren’t about stumping candidates or testing their algorithm knowledge. They create space for real engineering thinking to emerge.
Here’s what separates questions that reveal excellence from questions that just waste time:
- Clarity is King: Your questions should be crystal clear, even if the solutions aren’t. Ambiguous instructions don’t test problem-solving—they test mind reading.
- One Concept, Infinite Depth: Each question should focus on a single core concept but have enough depth to challenge anyone. A senior developer should be able to take the same question that a junior developer answers and show dramatically different thinking.
- Reality Beats Theory: Base your questions on actual problems you’ve faced. The best questions come from real production issues, stripped of company-specific details but keeping the essential complexity.
- Time is a Feature, Not a Bug: Design questions that can be meaningfully attempted in your time slot. Better to deeply explore a focused problem than to rush through a sprawling one.
- Make Excellence Visible: Structure questions so the difference between good and great answers is obvious (to you). You should know what excellence looks like before asking the question.
Start Building Your Question Bank
The best questions work like onions—they have layers. Here’s how to build them:
- Start with a straightforward problem that any competent developer can attempt
- Add constraints that force architectural thinking
- Include hidden edge cases that experienced developers will spot
- Leave room for discussions about scale, security, and maintainability
This way, every candidate can show their level while exceptional candidates can demonstrate their expertise.
Here’s how to layer complexity in your interview questions:
- Start Simple: Begin with a basic challenge any competent developer can tackle (e.g., “Design a caching system for our API”)
- Add Technical Depth: Introduce distributed systems challenges (“Now make it work across three regions”)
- Inject Business Reality: Layer in real-world constraints (“We need 99.99% availability and audit logs”)
- Watch for Initiative: Great candidates will:
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- Ask about cache invalidation
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- Consider memory constraints
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- Bring up monitoring needs
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- Find edge cases you hadn’t considered
Junior developers should handle the base problem, while senior architects should find hidden complexity. The depth they discover reveals their true expertise.
Stop Asking the Wrong Interview Questions
Still asking candidates to reverse a binary tree or solve LeetCode mediums? There’s a better way. Elite engineering leaders design interview questions that expose what GitHub profiles can’t—how developers think when there’s no Stack Overflow or Copilot to save them.
The goal isn’t to collect rehearsed answers—it’s to reveal how candidates solve problems when the path isn’t obvious.
Here’s how to ask questions that matter.
System Design: Real Problems, Real Thinking
Most system-design interviews test memorization rather than understanding. They ask candidates to regurgitate design patterns instead of solving real problems.
Here’s a better approach.
Start with something deceptively simple, such as: “How would you design a service to handle user activity events?” This gives candidates a comfortable ground to start from. But don’t let them get too comfortable. Once they sketch out a basic solution, begin layering in real-world complexity.
Tell them you need to handle a million events per minute. Watch how they adapt their design. Then, reveal that 15% of these events are critical financial transactions that can’t be lost. Finally, add the twist: the business needs real-time analytics across all this data.
The pattern-matchers will flounder here. They’ll keep trying to apply textbook solutions to an increasingly complex problem. But real architects will step back. They’ll consider failure scenarios and recovery strategies and ask:
- “What’s the acceptable latency for different event types?”
- “What happens if we lose events?”
- “How long do we need to retain this data?”
- “What are our consistency requirements?”
This approach reveals not just what candidates know, but how they think when facing real engineering challenges. The best candidates won’t just solve the problem—they’ll help you understand it better.
Technical Decision-Making
Most interviews test what decisions candidates make. The better question is how they make them. Here’s how to uncover real engineering judgment.
Start with a real architectural decision like: “How would you evaluate database options for a growing product?” This reveals how candidates approach technical choices that impact entire systems.
Let them outline their evaluation process. Then start turning up the heat. Tell them you need five-nines availability (a system that’s up 99.999% of the time).
- Watch them reconsider their initial assumptions.
- Mention that your largest customers have 10TB+ of data.
- See how they adapt.
- Finally, drop the compliance bomb: you need to be GDPR-ready in six months.
The pattern-matchers will focus on feature comparisons and benchmarks. But exceptional engineers will show a more sophisticated approach. They’ll talk about proof-of-concepts to validate assumptions. They’ll consider operational impact and team capabilities. They’ll think about migration paths and risk mitigation.
Crisis Mode: When Everything’s on Fire
This is where you separate the theoretical architects from the battle-tested engineers. Anyone can design systems when everything’s calm. But how do they perform when production is burning?
Start with a standard question: “Walk me through your worst production incident.” But don’t let them tell just another war story. You want to reveal their incident response playbook.
Elite engineers will naturally reveal:
- How they prioritized immediate actions vs. long-term fixes
- Their process for diagnosing root causes while managing symptoms
- Specific ways they kept stakeholders informed and aligned
- How they coordinated team efforts under pressure
- What they learned and systematized afterward
Watch for the difference between those who focus solely on technical fixes versus those who demonstrate comprehensive incident management. Great candidates won’t just describe what broke—they’ll articulate how they thought through tradeoffs, managed team dynamics, and turned crisis into improvement opportunity.
Most importantly, they’ll show how this experience shaped their approach to system design and team leadership. The best candidates transform war stories into engineering wisdom.
Building for Tomorrow’s Problems
Great engineers don’t just solve today’s problems—they build systems that can evolve. Here’s how to find the ones who think ahead.
Start with a thought experiment: “If you could rebuild your most complex system from scratch, what would you do differently?” Watch for the difference between complainers and builders. Junior engineers will rant about technical debt. But seasoned architects will show a deeper understanding of how systems evolve.
Push them further. Tell them the business plans to 10x scale next year. Add that you need multi-cloud support. Then drop the real challenge: zero downtime during migration. The pattern-matchers will dive into specific technologies. The true architects will ask about business constraints, team capabilities, and migration risks.
Then, to test for future-proofing, ask, “Design a system that will still work well in five years.” The mediocre candidates will list trendy technologies. The great ones will discuss designing for change—modular architectures, clear boundaries, and evolution paths.
So, watch for candidates who:
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- Show deep understanding of architectural trade-offs
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- Consider both technical and organizational constraints
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- Have realistic approaches to system evolution
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- Think in terms of incremental improvement
The best candidates will build in the flexibility to handle tomorrow’s unknowns. They’ll show you how they’ve learned from past systems and how those lessons inform their future designs.
Team Dynamics Questions: Where Technical Meets Human
Engineering excellence isn’t just about technical skills—it’s leading teams through complex decisions. Here’s how to evaluate both at once.
Start with a common scenario: “Your team is divided on a major architectural decision.” Then, watch how candidates navigate the human side of technical choices. Tell them half the team wants microservices, and half wants a monolith. Add that this decision will shape the next two years of work. Then, make it interesting: the senior engineers favor one approach, but the CEO pushes for the other.
The weak candidates will focus on proving they’re right. The strong ones will show how they build consensus. They’ll talk about running experiments to validate assumptions. They’ll discuss how they help teams work through disagreements. Most importantly, they’ll demonstrate how they turn technical conflicts into learning opportunities.
Building Better Engineering Teams Starts with Better Questions
Most companies approach technical interviews like standardized tests—a series of pass/fail challenges that reveal little about real engineering ability. They ask candidates to solve algorithmic puzzles, then wonder why their engineering teams struggle with real-world system bottlenecks.
We’ve shown you a different path. One that uses carefully crafted questions to reveal not just technical skills, but how candidates think, solve problems, and lead teams.
Top engineering candidates won’t just answer your questions—they’ll improve them. They’ll ask clarifying questions that show deep understanding. They’ll consider angles you hadn’t thought of. They’ll demonstrate not just their current capabilities, but their growth potential.
Use these questions as a starting point, but make them your own. Adapt them to your context, your challenges, your needs. Because at the end of the day, the best interview questions aren’t just for finding good engineers—they build great engineering teams.
(Or…skip the interview process entirely and get matched with a pre-vetted senior developer from our elite talent pool within 48 hours.)