Coinbase Coding & Algorithms interview questions focus on algorithmic rigor applied to high-throughput, security-sensitive systems. What’s distinctive is the product context: many problems are framed around integrity, ordering, and performance (for example ledger-like chains, streaming windows, and concurrency-safe logic), so interviewers often look for solutions that are not only correct but robust and efficient. You should expect an initial online assessment (usually timed), followed by live coding rounds and complementary conversations on system trade-offs and reliability. Practical coding skills, clear communication, and thoughtfulness about edge cases matter as much as getting a working solution. For interview preparation, emphasize mastery of core data structures and algorithms (arrays, hashes, trees/graphs, heaps, dynamic programming) plus patterns for streaming, hashing, and concurrency when relevant. Practice timed problems, explain your approach out loud, and write clean, testable code. In the week before interviews, do mock interviews that mimic the CodeSignal/online-assessment environment and review complexity analysis and common pitfalls like off-by-one errors and null handling. Paired practice and concise trade-off discussions will help you translate algorithmic solutions into engineering-ready answers.