FAANG Specific Technology and Culture Questions
Understanding of what makes each FAANG company's technical challenges and culture unique. Google focuses on scale and distributed systems. Amazon emphasizes customer obsession and operational excellence. Meta focuses on mobile and infrastructure. Apple emphasizes hardware-software integration and user experience. Netflix is known for microservices and freedom and responsibility culture. Microsoft has become increasingly cloud-focused with Azure. Understanding each company's technical philosophy helps you source engineers who align with that culture.
EasyTechnical
0 practiced
You're interviewing for a backend role at Google and the interviewer asks you to justify a design choice for a globally distributed cache. How would you structure your response to demonstrate both technical depth and cultural fit for Google (scale, automation, SRE principles)? Outline the talking points you would cover in order.
MediumTechnical
0 practiced
Implement a simplified consistent hashing ring in Python or Java that supports: add_node(node_id), remove_node(node_id), and get_node(key). Your implementation should minimize remapped keys when nodes change and support virtual nodes. Explain complexity and how you'd test correctness and distribution at scale.
MediumTechnical
0 practiced
Compare deployment strategies: blue/green, canary, rolling, and feature-flag driven releases. For each approach explain when you'd use it, operational trade-offs, and which FAANG companies or cultures tend to favor each strategy and why.
MediumSystem Design
1 practiced
Design a URL shortener service that must support 1 billion redirects per day and 100 million stored short URLs. Describe an architecture that meets scale, discuss storage and caching choices, collision-resistant short-id generation, and how you would instrument analytics. Then contrast how Netflix (microservices and team autonomy) and Google (global scale and SRE) would influence your design choices.
HardTechnical
0 practiced
You are the principal engineer tasked with producing a 'Tech & Culture' playbook for a new engineering organization. Outline the top 10 items (processes, KPIs, platform choices, hiring principles, on-call practices, testing, deployment, ownership model, docs, telemetry), explain how you'd measure adoption for each item, and describe how you'd tailor recommendations using influences from Google, Amazon, Meta, Apple, Netflix, and Microsoft.
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