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Rippling interview notes, page 6 of 13

Large Enterprises

Most of these Rippling write-ups come from Software Engineers (126), then Machine Learning Engineers (2). The most reported rounds are the technical phone screen (60), the system design round (48), the hiring manager screen (5) and the onsite coding round (5).

128 interview notes · updated Sep 2026

Rippling·Software Engineer·Onsite - System Design / Architecture

May 2026
Rippling system design follow-up, this time with a twist on the objective function. Instead of maximizing deliveries, they wanted me to rethink the whole dispatch model around keeping drivers active. Took me a minute to even understand why that would be a different problem.
  • You've designed a food delivery dispatch system. Now change the optimization target: instead of maximizing total deliveries, maximize the number of drivers who are actively working at any given time. What does this change about your dispatch logic, supply/demand matching, and driver incentives?

“This one messed with my head a bit.”

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Rippling·Software Engineer·Onsite - System Design / Architecture

May 2026
Rippling SWE interview, one of the later rounds, focused on system design and discussion rather than live coding. This particular question was a follow-up to an earlier design problem about an internal store.
  • How would you add a search feature to the internal store you designed earlier? No code required, just walk through your approach.

“No coding, just talk through it.”

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Rippling·Software Engineer·Onsite - System Design / Architecture

May 2026
Rippling system design round, one big question covering basically the entire food delivery problem space. A lot of ground to cover in one session and I definitely didn't get to everything cleanly.
  • Design a food delivery platform similar to DoorDash or UberEats, covering restaurant search and browsing, order placement and payments, courier dispatch and routing, geospatial indexing for finding nearby couriers and restaurants, real-time order tracking, and ratings and reviews.

“This is basically six system design questions stitched together and they want you to cover all of it.”

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Rippling·Software Engineer·Technical Phone Screen

May 2026
Rippling SWE interview focused entirely on a sweep-line scheduling problem with multiple layers of follow-ups. The question kept evolving and each part exposed a new edge case I hadn't thought about.
  • Given delivery logs as (dasherId, startTime, endTime) tuples with exclusive end times, compute the maximum number of busy dashers at any single moment, counting each dasher at most once even if they hold multiple overlapping orders simultaneously.
  • Design and implement an O(n log n) sweep-line algorithm for this problem. Explain how you create events, how you deduplicate multiple simultaneous starts for the same dasher, and how you handle ties so that an end at time t is processed before a start at time t.
  • If your event tuples include the dasherId, what is the pitfall of sorting by (dasherId, time, delta)? What is a correct sort key and why?
  • How would your approach change if dashers could not take overlapping orders and you just needed the peak number of concurrent orders? Analyze time and space complexity for both variants.

“The 'count each dasher once' constraint is what makes this non-trivial.”

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Rippling·Software Engineer·Take-home Assignment

May 2026
Rippling gave me a take-home that was basically 'build a production-grade HTTP server from scratch, no libraries.' More scope than I expected for a single assignment, and it took way longer than the instructions implied it would.
  • Build a minimal HTTP/1.1 server from scratch without using any frameworks. It should listen on a configurable port, parse GET and POST requests, support a /health and /echo endpoint, serve static files with correct Content-Type headers, handle concurrent connections, enforce request timeouts, shut down gracefully, and log requests in a structured format. Return 400, 404, and 405 errors where appropriate. Include unit tests and instructions to run it locally.

“This looked manageable at first glance and then I actually read the full requirements.”

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Rippling·Software Engineer·Technical Phone Screen

May 2026
Rippling SWE interview, coding round that built on a previous question. The main substance was around a store implementation and then layering search on top of it, with a lot of back-and-forth on the trade-offs.
  • Given a store data structure you implemented earlier, add a search function to it. How do you handle the read/write trade-offs depending on what underlying structure you're using for storage?

“Memory is fuzzy on the exact setup but the core of it was: you've already got this store thing working, now make search fast.”

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Rippling·Software Engineer·Hiring Manager Screen

May 2026
Interviewed for a bizops role at Rippling, got a case-style question about diagnosing a spike in customer support tickets. Pretty classic ops interview territory but it still made me think harder than I expected.
  • If customer support ticket volume is rising, how would you investigate the root cause and address it?

“I went straight into segmenting the tickets by category and time to figure out if it was a sudden spike or a gradual climb.”

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Rippling·Software Engineer·Onsite - System Design / Architecture

May 2026
System design round at Rippling for a software engineer role, centered almost entirely on news aggregation. The core problem was deceptively tricky and the personalization piece barely came up.
  • Design a news aggregation feed similar to Google News, where articles from many different publishers are pulled in and grouped so users see one entry per story instead of dozens of duplicates.
  • After the core aggregation is working, how would you layer in personalization so users see stories ranked by their interests and preferred sources?

“The clustering part is where I spent most of my energy and honestly it took me a while to get there.”

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Rippling·Software Engineer·Take-home Assignment

May 2026
Rippling gave me a take-home to build a mini Q&A REST API, basically a stripped-down Stack Overflow clone. Solid task, not too flashy, but there's more surface area than it looks at first glance.
  • Build a REST API for a Stack Overflow-style Q&A system. It should support creating questions, listing questions, fetching a question by ID, posting answers, listing answers per question, and a basic search feature. Any language or framework is fine. Make sure to cover the data model, request validation, error handling, and write some tests.

“More involved than I expected.”

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Rippling·Software Engineer·Technical Phone Screen

May 2026
Rippling SWE interview with a tree problem. Pretty standard stuff but I always get a little nervous with tree questions because there are like three different ways to think about them and I second-guess myself every time.
  • Given a company org chart modeled as a tree where the CEO is the root, find the maximum depth from the root to the farthest employee.

“Basically tree height.”

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