Palo Alto Networks interview process (2026)
Round-by-round breakdown of the Palo Alto Networks software engineering interview across 4 levels and 18 rounds: interview mode, sample questions, and worked solutions.
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Software Engineer Intern (Early-in-Career)
Difficulty: Medium · Timeline: 5 months · Recommended prep: ~3-6 weeks · Cooldown: No reliable India intern reapplication cooldown data found.
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Round 0: Online Assessment — MCQ + Coding (HackerRank/CodeSignal)
Assessment · ~60-90 minutes · difficulty 2/5 · elimination round
Mode of interview: Online assessment · HackerRank
Sample question: Find the Longest Equal Subarray — Given a 0-indexed integer array nums and an integer k, delete at most k elements from nums. Return the length of the longest possible equal subarray (a subarray in which all elements are equal) after the deletions. An empty subarray has length 0.
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Round 1: Technical Interview 1 — Coding + CS Fundamentals
Onsite · ~45-60 minutes · difficulty 3/5 · elimination round
Mode of interview: Onsite or virtual onsite interview
Sample question: LRU Cache — Design a data structure for a Least Recently Used (LRU) cache with capacity C. Implement get(key) returning the value or -1 if absent, and put(key,value) which inserts/updates and, when at capacity, evicts the least recently used key. Both operations must run in average O(1).
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Round 2: Technical Interview 2 — Projects + Light Design
Onsite · ~45-60 minutes · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
Sample question: Design HashMap (implement a hash table without built-ins) — Implement a hash map (put / get / remove) WITHOUT using any built-in hash/map library, handling collisions yourself (e.g. bucket chaining) and returning -1 for a missing key. Be ready to discuss the hash function and rehashing.
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Round 3: HR / Behavioral Round
Behavioral · ~20-30 minutes · difficulty 1/5
Mode of interview: Live behavioral interview
Software Engineer (SWE / SDE / New Grad, Bangalore)
Difficulty: Medium · Timeline: 5-6 weeks · Recommended prep: 4-8 weeks · Cooldown: ~6-12 months
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Round 0: Recruiter / HR screen
Phone · 20-30 min · difficulty 1/5 · elimination round
Mode of interview: Remote phone or video interview
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Round 1: Online Assessment (HackerRank / Codility)
Assessment · 60-90 min · difficulty 2/5 · elimination round
Mode of interview: Online assessment · HackerRank
Sample question: LRU Cache — Design a data structure for a Least Recently Used (LRU) cache supporting get(key) and put(key, value) in O(1) average time. When capacity is exceeded, evict the least-recently-used entry. PANW follow-up: add per-entry TTL expiry.
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Round 2: Technical phone screen (hiring manager / engineer)
Phone · 45-60 min · difficulty 2/5 · elimination round
Mode of interview: Remote phone or video interview
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Round 3: Virtual onsite loop - coding + LLD + domain
Onsite · ~60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
Sample question: Design a URL Shortener (TinyURL) — Design a URL shortening service like TinyURL: generate a short unique key for a long URL, redirect on lookup, and discuss key generation (hashing vs counter/base62), storage, collision handling, and read-scaling with caching.
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Round 4: HR / behavioral round
Behavioral · 30-45 min · difficulty 1/5
Mode of interview: Live behavioral interview
Senior Software Engineer (Bangalore)
Difficulty: Hard · Timeline: 5-6 weeks · Recommended prep: 6-10 weeks · Cooldown: ~6-12 month
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Round 0: Recruiter / HR screen
Phone · 20-30 min · difficulty 1/5 · elimination round
Mode of interview: Remote phone or video interview
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Round 1: Technical phone screen
Phone · 45-60 min · difficulty 3/5 · elimination round
Mode of interview: Remote phone or video interview
Sample question: Median of Two Sorted Arrays — Given two sorted arrays nums1 and nums2, return the median of the combined sorted array. Target O(log(min(m,n))) time via partition-based binary search.
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Round 2: Virtual onsite loop - coding + low-level design
Onsite · ~60 min · difficulty 3/5
Mode of interview: Onsite or virtual onsite interview
Sample question: Design a scalable security telemetry / detection pipeline — Design a pipeline that ingests millions of security events per second (firewall/endpoint logs), normalizes and enriches them, runs a detection / alert-scoring stage, and stores results for query. Discuss partitioning, back-pressure, exactly-once vs at-least-once, data retention, tenant isolation, and how false positives propagate downstream to analysts.
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Round 3: System design round (high-level, security/scale)
System_design · ~60 min · difficulty 4/5
Mode of interview: Live system design interview
Sample question: Design a Distributed Rate Limiter — Design a distributed rate limiter for an API gateway: enforce per-client/per-tenant request quotas across many nodes. Discuss algorithms (token bucket / sliding window log/counter), a shared store (Redis) vs local counters, consistency vs latency tradeoffs, and handling bursts and clock skew.
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Round 4: Behavioral / hiring manager / director round
Behavioral · 30-45 min · difficulty 2/5
Mode of interview: Live behavioral interview
Principal Software Engineer (Bangalore)
Difficulty: Hard · Timeline: Not documented specifically for India; expect a longer, more · Recommended prep: Deep system/architecture design, securit · Cooldown: No published policy.
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Round 0: Recruiter + hiring manager screens
Phone · 30-45 min · difficulty 2/5 · elimination round
Mode of interview: Remote phone or video interview
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Round 1: Technical / coding + design loop
Onsite · ~60 min · difficulty 4/5
Mode of interview: Onsite or virtual onsite interview
Sample question: Longest Increasing Path in a Matrix — Given an m x n integer matrix, return the length of the longest strictly increasing path. From each cell you may move up/down/left/right. Solve with DFS + memoization (DP over the implicit DAG) in O(m*n).
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Round 2: Architecture / system design deep-dive
System_design · 60-90 min · difficulty 4/5
Mode of interview: Live system design interview
Sample question: Design a multi-level parking lot (LLD) with concurrency — Low-level design of a multi-level parking lot: model floors, spots by vehicle type, tickets, and pricing; expose clean interfaces for park/unpark and spot allocation; handle multiple entry/exit gates concurrently (thread-safe allocation using locks). PANW follow-ups probe Java generics and locking strategy.
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Round 3: Leadership / cross-functional influence
Behavioral · 45-60 min · difficulty 3/5
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.