BrowserStack interview process (2026)

Round-by-round breakdown of the BrowserStack software engineering interview across 3 levels and 16 rounds: interview mode, sample questions, and worked solutions.

BrowserStack salary & ratings · All interview processes

Software Engineering / Backend Developer Intern (Mumbai)

Difficulty: Medium · Timeline: 2-4 weeks · Recommended prep: 3-5 weeks · Cooldown: No official cooldown documented; candidates typically reappl

  1. Round 0: Online Assessment (Coding + Fundamentals)

    Assessment · ~2 hours · difficulty 2/5 · elimination round

    Mode of interview: Online assessment

    Sample question: Count Word Occurrences in a Large Text File — Given a target word and a body of text (potentially a very large append-only file), count how many times the word occurs (whole-word, case-insensitive, ignoring surrounding punctuation). Follow-up asked in the hiring-manager round: how does your approach change when the file grows from a few MB to several GB (up to ~1 TB with only ~8 GB RAM), and how would concurrency/multithreading help?

  2. Round 1: Machine Coding Round (signature)

    Onsite · ~2-3 hours · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Real-Time Log Watcher (tail -f) with Live Broadcast to Many Clients — Build a system that monitors a large, append-only log file (potentially GBs/TBs) and streams only newly-appended lines to web clients in real time. Requirements: on connect a client sees the last 10 lines; the server must push updates (no client polling) and transmit only the delta, not the whole file; it must not re-read from line 0; and it must fan out to many concurrent clients (WebSockets). You may not shell out to the real `tail` command or use an off-the-shelf tail library. This is BrowserStack's signature machine-coding / applied-design task.

  3. Round 2: Technical Interview (Engineering Manager)

    Onsite · 45-60 min · difficulty 2/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

  4. Round 3: Managerial + HR Round

    Behavioral · 15-45 min · difficulty 1/5

    Mode of interview: Live behavioral interview

Software Engineer (SDE-1 / SDE-2), Mumbai / Remote India

Difficulty: Hard · Timeline: ~2-4 weeks · Recommended prep: 6-10 weeks · Cooldown: ~6-12 month

  1. Round 0: Recruiter / HR Screening Call

    Phone · 15-30 min · difficulty 1/5

    Mode of interview: Remote phone or video interview

  2. Round 1: Online Assessment

    Assessment · ~120 min · difficulty 3/5 · elimination round

    Mode of interview: Online assessment

    Sample question: Remove Comments from Source Code — Given a block of C/C++ source code on stdin, remove all single-line (//...) and multi-line (/* ... */) comments and print the remaining code. You must NOT strip comment-like sequences that appear inside string or char literals, and lines that become blank after removal should be dropped. Input: the full program text until EOF. Output: the de-commented program.

  3. Round 2: Machine Coding Round I

    Onsite · 2-3 hours · difficulty 4/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Real-time Remote Log Viewer ('tail -f' over WebSockets) — Build a server-side program that monitors a large, append-only log file on the server and streams new content to browser clients in real time (like UNIX 'tail -f'). A web client must show the last 10 lines on load, then receive only new appended lines live without page refresh. Must handle multiple concurrent clients, must NOT retransmit the whole file, and must stay efficient for multi-GB files (do not read from the start). Off-the-shelf tail libraries / the tail command itself are disallowed; use WebSockets for the live stream.

  4. Round 3: Machine Coding Round II (situational)

    Onsite · ~2 hours · difficulty 4/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Browser-Control REST Service (no Selenium) — Design and implement a stateless REST web service that controls two real browsers (Chrome and Firefox) WITHOUT any automation framework (Selenium/WebDriver/Puppeteer are banned). Endpoints: start (launch a given browser at a URL), stop (kill the browser process), cleanup / deleteAllHistory (delete session data - history, cookies, cache - only if the browser was stopped), and getLatestURL (return the current/last active tab's URL, e.g. by reading the browser's own profile store directly). Bonus: make it OS-independent.

  5. Round 4: Engineering / Hiring Manager Round (System Design + Deep Dive)

    System_design · ~60 min · difficulty 3/5 · elimination round

    Mode of interview: Live system design interview

    Sample question: Round-Robin Reverse Proxy (LLD) — Design a reverse proxy that distributes incoming requests across n backend servers in round-robin fashion, where each server exposes m endpoints. The proxy must consume server health events (a server going DOWN must be skipped; coming back UP must rejoin the rotation) and must track how many requests each server has received. Model the classes/interfaces and implement request routing plus the health-event handling.

  6. Round 5: HR / Fitment Round

    Behavioral · ~15-30 min · difficulty 1/5

    Mode of interview: Live behavioral interview

Senior Software Engineer (Senior SDE), Mumbai / Remote India

Difficulty: Hard · Timeline: ~3-5 weeks · Recommended prep: 6-10 weeks · Cooldown: ~6-12 months

  1. Round 0: Recruiter / HR Screening Call

    Phone · 15-30 min · difficulty 1/5

    Mode of interview: Remote phone or video interview

  2. Round 1: Online Assessment / Coding Screen

    Assessment · ~120 min · difficulty 3/5 · elimination round

    Mode of interview: Online assessment

    Sample question: JSON Object Diff (differing keys) — Given two flat JSON objects (each on its own line), output the keys present in both objects whose values differ, joined by ':' in the order they appear in the first object. Value tokens may be quoted strings, numbers, or arrays like ['B','C']; compare the raw value text. Example: {"Geeks":"Test1","Are":"hey","Cool":"yeah"} vs {"Geeks":"Test1","Are":"20","Cool":['B','C']} => Are:Cool.

  3. Round 2: Machine Coding Round(s)

    Onsite · 2-3 hours · difficulty 4/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

    Sample question: Count word frequencies in a 1 TB file with only 8 GB RAM — Design a system to count the number of occurrences of each word in a 1 TB file when the machine has only 8 GB of RAM. Discuss chunked streaming, external hashing/partitioning by word hash into on-disk buckets, per-bucket in-memory counting, k-way external merge for the final counts, and how you would parallelize this as a MapReduce job across a multi-node cluster (and adapt MapReduce for a multi-cluster environment).

  4. Round 3: Engineering Manager Round (System Design)

    System_design · ~60 min · difficulty 4/5 · elimination round

    Mode of interview: Live system design interview

    Sample question: Design a web-scale search engine + SQL vs NoSQL / caching — Engineering-manager system-design round: design the architecture of a Google-style search engine (crawling, indexing, ranking, serving), then defend your data-store choices - when to use SQL vs NoSQL, where and how to add caching, and how MapReduce / distributed processing fits. Expect follow-ups on deadlocks (definition and prevention) and distributed-systems fundamentals.

  5. Round 4: Director of Engineering / Founder Round

    Onsite · ~45-60 min · difficulty 3/5 · elimination round

    Mode of interview: Onsite or virtual onsite interview

  6. Round 5: HR / Fitment Round

    Behavioral · ~15-30 min · difficulty 1/5

    Mode of interview: Live behavioral interview

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Worked sample solutions (code, design diagrams, and STAR answers) for every round are available in the FAANGPlus app: open interview processes.