Toast Interview Questions (2026)
5 questions · 1 experiences · InterviewDB (3) · 1p3a (2) · LeetCode (1)
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Toast Senior Software Engineer 6 YOE Onsite Interview Rejection 2025
#121 Best Time to Buy and Sell Stock
Menu Price Resolution: Resolve Final Item Prices After Applying Cascading Discounts
Toast SWE Phone - Palindrome with Restriction (Strings)
Toast SWE Phone - String Search (Strings/Sliding Window)
Toast SDE-2 Technical Interview Round 1 Maximum Profit Bread Problem
Toast Senior Software Engineer 6 YOE Onsite Interview Rejection 2025
Question Details
R1 Given a stock price of 1 day for a day, create a method that would return the maximum profit of the day, given the following conditions. You can only buy and sell once. The difference between the buy and sell times must be at least 5 seconds long. Each of the element in the prices, we can map it to 1 second. Assumptions are the difference in time between each stock price is 1 second long. Stock prices are already in order by time. If there is no profit for the day,
return 0. The input is given a list of long and I need to return it in long. ### R2 We are building a labor service to keep track of when restaurant employees are on the job. The data managed by the service will be used in payroll calculations (how many hours an employee worked), scheduling, and to power other user-facing products. Please write the endpoints backing a REST API that enables a client to perform the following: Clock-in an employee Clock-out an employee Get the list of currently clocked-in employees Return how many hours an employee has worked this week (last 7 days) (example: 30.5) ### R3 Code review round. Code at the end ### R4
System Design Design a restaurant table booking system ### R5 HM round - A usual round - conflict management, projects that I was proud of, what do I expect in the role, how do I work with co-workers. Feedback: Called the HR for the result, she said that due to business changes, they held the recruitment and will get back once they want to start hiring again. --- R3 code:
package com.toasttab.codereview.service; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.InputStream; import java.net.URL; import java.net.URLConnection; import java.nio.file.Files; import java.nio.file.Paths; import java.util.List; import java.util.Optional; import java.util.logging.Level; import java.util.logging.Logger; import javax.ws.rs.GET; import javax.ws.rs.Path; import javax.ws.rs.PathParam; import javax.ws.rs.Produces; import javax.ws.rs.QueryParam; import javax.ws.rs.core.MediaType; import io.dropwizard.hibernate.UnitOfWork; /** * The purpose of this service is to gather all of the restaurant menus in the world by any means necessary. * We allow everyone and everything to use this service as we want all the menus in the world. * * Some other service will come along later to do some processing on this data. *
**Example** use case: a service may use this data to figure out the most popular dish in restaurants in Boston. */ @Path("/common") @Produces(MediaType.TEXT_PLAIN) public class MenuDataResource { private final DataDAO dao; public enum ReaderType { FILE_BASED, URL; } public MenuDataResource(DataDAO dao) { this.dao = dao; } //
**example**: www.menus.com/common/loadFile @GET @Path("/loadFile") @UnitOfWork public String loadFile(@QueryParam("location") String location) { /* Validation of the input is missing, applies to all the methods below */ byte[] bytes = Reader.retrieve(ReaderType.FILE_BASED, location); if(loadByes(location, bytes)) {
**return** "success!"; } else {
**return** "error!"; } } @GET @Path("/loadUrl") @UnitOfWork public String loadUrl(@QueryParam("location") String location) { byte[] bytes = Reader.retrieve(ReaderType.URL, location); if(loadByes(location, bytes)) {
**return** "success!"; } else {
**return** "error!"; } } @GET @Path("/") @Produces(MediaType.TEXT_HTML) @UnitOfWork public String list() { StringBuilder html = new StringBuilder(); html.append("<html><body><list>"); List<MenuData> menuDatas = dao.findAll(); for(MenuData menuData : menuDatas) { html.append("<li>"); html.append(menuData.getId() + "::<a href="+ menuData.getId()+">" + menuData.getLocator()+"</a>"); html.append("</li>"); } html.append("</list></body></html>");
**return** html.toString(); } @GET @Path("{id}") @Produces(MediaType.TEXT_PLAIN) @UnitOfWork public byte[] get(@PathParam("id") Long id) { Optional<MenuData> od = dao.findById(id); if(!od.isPresent()) { throw new RuntimeException("Error 404 Not Found"); } MenuData d = od.get();
**return** d.getBytes(); } public static class Reader { private static Logger logger = Logger.getLogger(Reader.class.getName()); public static byte[] retrieve (ReaderType type, String locator) { try { switch (type) { case FILE_BASED: {
**return** Files.readAllBytes(Paths.get(locator)); } case URL: { URL url = new URL(locator); URLConnection conn = url.openConnection(); InputStream is = conn.getInputStream(); ByteArrayOutputStream buffer = new ByteArrayOutputStream(); int nRead; byte[] data = new byte[16384]; while ((nRead = is.read(data, 0, data.length)) != -1) { buffer.write(data, 0, nRead); } buffer.flush();
**return** buffer.toByteArray(); } default: { throw new UnsupportedOperationException("cannot happen"); } } }catch (IOException e) { logger.log(Level.SEVERE, "caught io error", e);
**return** null; } } } private boolean loadByes (String locator, byte[] bytes) { MenuData menuData = new MenuData(); menuData.setBytes(bytes); menuData.setLocator(locator); dao.create(menuData);
**return** true; } } package com.toasttab.codereview.service; import javax.persistence.Column; import javax.persistence.Entity; import javax.persistence.GeneratedValue; import javax.persistence.GenerationType; import javax.persistence.Id; import javax.persistence.Table; import java.util.Objects; @Entity @Table(name = "RETRIEVED_DATA") public class MenuData { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private long id; @Column(name = "BYTE_DATA", nullable = false) private byte[] bytes; @Column(name = "LOCATOR", nullable = false) private String locator; public MenuData() { } public MenuData(byte[] bytes) { this.bytes = bytes; } public long getId() {
**return** id; } public void setId(long id) { this.id = id; } public byte[] getBytes() {
**return** bytes; } public void setBytes(byte[] bytes) { this.bytes = bytes; } public String getLocator() {
**return** locator; } public void setLocator(String locator) { this.locator = locator; } @Override public boolean equals(Object o) { if (this == o) {
**return** true; } if (!(o instanceof MenuData)) {
**return** false; } final MenuData that = (MenuData) o;
**return** Objects.equals(this.id, that.id) && Objects.equals(this.locator, that.locator) && Objects.equals(this.bytes, that.bytes); } @Override public int hashCode() {
**return** Objects.hash(id, bytes, locator); } } package com.toasttab.codereview.service; import org.hibernate.Query; import org.hibernate.SessionFactory; import java.util.List; import java.util.Optional; import io.dropwizard.hibernate.AbstractDAO; public class DataDAO extends AbstractDAO<MenuData> { public DataDAO(SessionFactory factory) { super(factory); } public Optional<MenuData> findById(Long id) {
**return** Optional.ofNullable(get(id)); } public MenuData create(MenuData menuData) {
**return** persist(menuData); } public List<MenuData> findAll() { Query q = currentSession().createQuery("SELECT d FROM MenuData d");
**return** (List<MenuData>) q.list(); } } package com.toasttab.codereview.test; import com.toasttab.codereview.service.MenuDataResource.Reader; import com.toasttab.codereview.service.MenuDataResource.ReaderType; import org.junit.Assert; import org.junit.Test; import java.io.File; import java.io.IOException; import java.nio.file.Files; import java.nio.file.Paths; public class ReaderTest { @Test public void retrieveTest() throws IOException { File f = File.createTempFile("retrieveTest", ".txt"); Files.write(Paths.get(f.getAbsolutePath()), "SomeText".getBytes()); byte[] actualB = Reader.retrieve(ReaderType.FILE_BASED, f.getAbsolutePath()); String actualS = new String(actualB); Assert.assertEquals("SomeText", actualS); Assert.assertNotNull(Reader.retrieve(ReaderType.URL, "<a href="http://www.example.com" target="_blank" rel="noopener" class="text-emerald-400 hover:text-emerald-300 underline">http://www.example.com</a>")); } }
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Toast Interview Process Overview
The Toast interview process typically includes a recruiter screen, one to two technical phone screens, and a 4-6 round on-site or virtual on-site loop. Each round serves a distinct calibration purpose: coding rounds measure correctness, code quality, and complexity reasoning; system design rounds measure architectural judgment at the appropriate level; behavioral rounds measure ownership, leadership scope, and collaboration. Reports tagged on LeakCode from 2024-2026 show Toast runs a calibrated process consistent with industry norms for companies of its tier.
Difficulty calibration: Toast coding rounds typically run medium difficulty with follow-up depth as the senior discriminator. System design rounds expect production-grade trade-off articulation at L4+ levels. Behavioral rounds expect quantified outcomes ("reduced p99 latency from 800ms to 120ms") rather than vague impact claims. The candidates who advance consistently demonstrate clear thinking out loud rather than perfect final answers.
How To Use Toast Question Reports
Real candidate-reported interview questions are a calibration tool, not a memorization target. Toast updates its question pool every 2-4 months; memorizing exact problems risks misleading you when the interviewer uses a variant. The high-leverage approach: identify the patterns that appear repeatedly in Toast reports, practice those patterns on similar (not identical) problems, and use the reports to understand the interviewer's typical follow-up depth.
Filter the questions above by round type, difficulty, and recency. Focus first on reports from the past 6-12 months; older reports may reference questions that have since rotated out of Toast's pool. Reports tagged with quantified difficulty and explicit round type are higher-signal than reports without those tags. The metadata filters help you build a focused study plan in 1-2 hours rather than 8-10 hours of unstructured browsing.
Common Toast Interview Mistakes
Reports tagged "no hire" at Toast consistently surface a few patterns: jumping into code without clarifying requirements, coding silently for extended periods, missing edge cases (empty input, single element, large input, overflow), producing working code the candidate cannot refactor when probed, and behavioral stories that use "we" instead of "I" diluting individual signal. Strong candidates explicitly avoid these patterns by following a consistent round template.
The single most predictive failure mode in recent reports: not asking clarifying questions. Interviewers are explicitly trained to weight this dimension. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into implementation immediately. Strong candidates also verbalize their approach before writing code; weak candidates code in silence and lose the communication dimension of the round's calibration.