Stripe interview questions

Showing 121–139 of 139 results

• Restaurant Listing CSV Linter: Required, Length, Banned Terms, OverlapMedium

  Write a configurable linter for restaurant-listing CSV rows that reports missing fields, length violations, whole-word banned terms, and too-low or too-high word overlap between fields after normalization. Tests robust CSV parsing, text normalization, rule-driven design and edge-case thinking.

  StripeSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Review a Production Pull Request and Calibrate Feedback to the Author's SeniorityMedium

  A staff-level Stripe code review exercise: review a realistic production pull request, decide what blocks the merge, and write the actual comments. It tests review prioritization, scrutiny of tests and failure modes, comment severity labeling, and how you adapt the delivery of feedback for early-career versus senior authors.

  StripeSoftware EngineerSoftware Engineering FundamentalsOther
• Schedule Welcome and Expiration Emails from Subscription RecordsMedium

  A programming exercise that turns customers' subscription records into a chronological schedule of lifecycle emails, such as a welcome email at the start and an expiration email at the end. It tests date arithmetic, deterministic ordering of same-day emails, and a rule design that makes new email types easy to add.

  StripeSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Scope an open‑ended take‑home under constraintsMedium

  This question evaluates a candidate's competency in scoping and prioritizing a data‑science take‑home, stakeholder communication, risk identification, and trade‑off defense under strict time constraints.

  StripeData ScientistBehavioral & LeadershipTechnical Screen
• Show Senior Engineering Leadership Through a Past ProjectMedium

  Explain senior engineering leadership through real project scope, technical judgment, coordination, delegation, and supported outcomes.

  StripeSoftware EngineerBehavioral & LeadershipOnsite
• Specify Proximity-Based Request RoutingEasy

  Clarify proximity metrics, destination eligibility, tie rules, and capacity before designing a request-routing algorithm.

  StripeSoftware EngineerSoftware Engineering FundamentalsOnline Assessment
• Split-Tender Payment Events with Gift Card Expiry, ZIP Surcharges and RefundsHard

  Implement a payment event processor for split-tender retail purchases, where each charge spends a customer's gift cards before billing the rest to a credit card. It tests precise simulation: earliest-expiry card priority with lexicographic tie-breaks, ZIP-range surcharges on the credit card portion, refunds split between card and store credit, and exact output formatting.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Staff Behavioral: Deciding With Incomplete Info, Stakeholder Alignment, MentoringMedium

  Stripe staff-level behavioral prompts covering a difficult technical decision made with incomplete information, aligning stakeholders with competing goals, and mentoring engineers while scaling your technical influence. It evaluates judgment under uncertainty, influence without authority, and concise, impact-first storytelling.

  StripeSoftware EngineerBehavioral & LeadershipOther
• Subtract Blocked Periods from Allowed Deployment WindowsHard

  Compute available deployment windows by merging allowed and blocked half-open intervals, subtracting overlaps, and returning maximal sorted nonempty ranges.

  StripeSoftware EngineerCoding & AlgorithmsOnline Assessment
• Theme-Park Wristband Payments: Expiring Credits, Zone Fees, RefundsHard

  Process a chronological log of theme-park wristband events that spend expiring ride credits before a linked card, apply per-zone card surcharges, and split refunds between the card and new store credit.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Transit Wallet Ledger: Expiring Vouchers, Zone Fees and RefundsHard

  Process a stream of wallet events where purchases spend expiring vouchers in priority order before charging a card with zone-based fees, and refunds split between card and new store credit. Tests careful rule-by-rule simulation and integer money math.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Validate CSV Company Records for Missing Fields, Length, Forbidden Words and OverlapMedium

  Build a validator for a CSV of company records that flags missing fields, values outside length limits and forbidden words, then measures word overlap between fields while ignoring case, spacing and words such as LLC. It tests robust CSV parsing, text normalization, rule-driven design and edge-case testing.

  StripeSoftware EngineerSoftware Engineering FundamentalsTechnical Screen
• Validate KYC CSV RecordsMedium

  Implement a KYC CSV record validator that parses customer records, normalizes fields, and validates tax IDs and owner name matches.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Validate transactions with risk rules and reportingMedium

  Implement an end-to-end transaction validation pipeline that parses raw CSV records, evaluates behavioral fraud detection rules, and outputs a formatted fixed-width audit report.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Verify business accounts with progressive KYC rulesMedium

  Implement a multi-tier KYC verification function that validates business identity inputs against format requirements and an official registry using token-based normalization.

  StripeSoftware EngineerCoding & AlgorithmsTechnical Screen
• Weekly Maintenance Windows Across Time Zones: Find Usable SlotsMedium

  Combine recurring 'open' maintenance windows and 'blackout' periods, declared in different local time zones, into the next usable UTC slots after a notice period; tests interval merging, subtraction and week wrap-around.

  StripeSoftware EngineerCoding & AlgorithmsOnsite
• Write SQL for snapshot features and labelsMedium

  This question evaluates proficiency in SQL-based feature engineering for time-series and user-event data, covering snapshotting, temporal joins, deduplication, windowed aggregations, distinct counting, and label construction in the Data Manipulation (SQL/Python) domain.

  StripeData ScientistData Manipulation (SQL/Python)Technical Screen
• Write SQL to detect recurring non-subscription usersMedium

  This question evaluates a candidate's ability to perform advanced SQL data manipulation and temporal pattern detection in transactional datasets, including attribute-based matching (amount and card fingerprint) and filtering by transaction status.

  StripeData ScientistData Manipulation (SQL/Python)Online Assessment
• Write SQL to monitor weekly chargeback spikesMedium

  This question evaluates proficiency in PostgreSQL time-series analytics, specifically aggregations, joins across payments and chargebacks, handling late-arriving events, and calculating per-week metrics such as GMV, active merchants, and chargeback rates.

  StripeData ScientistData Manipulation (SQL/Python)Onsite