Practice real interview questions from Google, Amazon, Microsoft, OpenAI, Anthropic, Uber, and more. Behavioral, coding, and system design — all in one place.
25+ questions • Behavioral-heavy with LP focus
25+ questions • Coding-heavy with Googleyness focus
25+ questions • Balanced coding + behavioral
25+ questions • Practical problems + AI focus
25+ questions • Concurrency-heavy + safety values
25+ questions • Fast-paced coding + domain design
25+ questions • Speed-focused coding + values
25+ questions • Systems-level + GPU programming
25+ questions • Domain design + marketplace focus
25+ questions • Systems/embedded + judgment rounds
25+ questions • Medium LC + scalability focus
25+ questions • Clean code + ecosystem design
25+ questions • Coding-heavy + recommendation design
25+ questions • Values + coding + CRM system design
25+ questions • C++ heavy + real-time financial system design
25+ questions • Decomposition + contextualized DSA + data system design
25+ questions • System design dominant + streaming/CDN architecture
25+ questions • Values-driven culture fit + executable code + marketplace design
Questions about your past experiences, teamwork, conflict resolution, and leadership. Most companies use the STAR method (Situation, Task, Action, Result).
Example Questions:
Pro Tip: Prepare 8-10 stories from your experience that cover leadership, conflict, failure, and impact. Each story should work for multiple question angles.
Data structures and algorithms problems solved in real-time. Expect to code on a whiteboard or shared editor while explaining your thought process.
Example Questions:
Pro Tip: Focus on the top 75-150 LeetCode problems. Master patterns: sliding window, two pointers, BFS/DFS, dynamic programming, and binary search.
Open-ended questions about designing large-scale distributed systems. Tests your ability to think about scalability, trade-offs, and real-world constraints.
Example Questions:
Pro Tip: Use a structured framework: requirements → API design → data model → high-level architecture → deep dive on bottlenecks → scaling. Always discuss trade-offs.
Preparing for a software engineering interview at a top tech company requires a structured approach across three key areas: coding, system design, and behavioral questions. Most companies — including Google, Amazon, Microsoft, Meta, OpenAI, Anthropic, and Uber — use a combination of all three to evaluate candidates. Understanding the interview format and question styles for each company gives you a significant advantage.
Coding interviews test your ability to solve algorithmic problems in real-time, typically within 30-45 minutes. The most commonly tested topics include arrays, strings, hash maps, trees, graphs, dynamic programming, and sorting algorithms. Companies like Amazon and Uber tend to focus on practical, real-world problems, while Google and Anthropic lean toward classic algorithms with a twist. Practice 2-3 problems daily on LeetCode, focusing on understanding patterns rather than memorizing solutions.
Behavioral interviews evaluate your soft skills, leadership, and cultural fit. Amazon's behavioral rounds are structured around their 16 Leadership Principles, while Microsoft looks for growth mindset, and Anthropic assesses alignment with AI safety values. The STAR method (Situation, Task, Action, Result) is the gold standard for structuring your answers. Prepare 8-10 diverse stories from your career that can be adapted to different question types.
System design interviews are common for mid-level and senior roles. You'll be asked to design large-scale distributed systems like a URL shortener, news feed, or chat application. Companies like Uber ask domain-specific questions (ride matching, surge pricing), while OpenAI focuses on ML pipeline design. The key is demonstrating structured thinking: start with requirements, define APIs, choose a data model, sketch the architecture, then deep-dive into bottlenecks and trade-offs.
Each company has its own interview culture and expectations. Google emphasizes algorithmic thinking and "Googleyness." Amazon is heavily behavioral with Leadership Principles woven into every round. Microsoft values collaboration and growth mindset. OpenAI tests practical engineering with real-world problems. Anthropic focuses on concurrency and AI safety alignment. Uber asks fast-paced coding with domain-specific system design. Use our company-specific guides above to tailor your preparation for each target company.