Rippling Coding & Algorithms interview questions tend to combine LeetCode-style algorithm problems with practical, multi-part tasks that probe both problem-solving and production-ready coding. Interviewers often evaluate correctness, algorithmic efficiency, code organization (OOP and modular design when appropriate), and the ability to iterate under follow-ups. A distinctive feature is the emphasis on writing runnable, testable code and explaining tradeoffs quickly; you should expect follow-up variants that push you to optimize, handle edge cases, or extend your solution toward a real product need. Expect a staged process that usually includes an initial technical screen followed by one or more timed coding rounds and often a system or machine-coding session for senior roles. For interview preparation, prioritize medium-to-hard algorithm practice, timed mock interviews, and end-to-end implementations in your primary language (including simple tests). Practice clear, concise explanations of complexity and tradeoffs, rehearse communicating while coding, and run through multi-part problems so you can pivot to follow-ups without losing momentum.