Full Stack

    Data Structures & Algorithms

    System Design

    Low Level Design

    Behavioral

    Projects

    Resume

    Companies

    Roadmaps

    Upgrade

All companies

Palo Alto Networks

0%
Overview
Data Structures & Algorithms
System Design
Low-Level Design

Palo Alto Networks's Interview Process (2026)

Blog / Palo Alto Networks's Interview Process (2026)
blog image
The Palo Alto Networks software engineer interview process is technical and multi-stage, typically spanning around five to six weeks from application to offer. Most candidates report a strong emphasis on networking fundamentals and practical coding skills, so expect the process to go well beyond standard algorithm questions.
  • Online Assessment: A timed coding test, usually around 60 to 90 minutes, hosted on a platform like HackerRank or Codility. Candidates typically see two or three DSA problems plus some multiple-choice questions, and often a networking-flavored coding task like implementing a basic echo server.
  • Recruiter Screen: A short introductory call, usually around 20 to 30 minutes, covering logistics, compensation, and your general interest in the role. Recruiters in 2025 have been screening specifically for alignment with the cybersecurity mission, so be ready to speak to why security matters to you.
  • Technical Screen: A deeper conversation, typically with the hiring manager, lasting around 45 to 60 minutes. Expect a thorough resume walkthrough and technical questions on operating systems and networking, such as how a packet moves through a firewall.
  • Virtual Onsite Loop: Usually three to four back-to-back technical rounds, each around one hour. Recent candidates report these rounds focus on debugging broken code, refactoring messy code, low-level design, and for mid-to-senior candidates, a high-level system design round.
  • Final HR and Behavioral Round: A closing conversation, typically 30 to 45 minutes, focused on culture fit and behavioral questions. This is also where your working style and approach to collaboration often come up.
With the stages mapped out, here are the core technical areas to focus your preparation on:
  • Data Structures & Algorithms: Tested in the online assessment and carried into the onsite through debugging and refactoring rounds.
  • Low-Level Design: Practical design rounds focused on API design, class structure, and handling ambiguous prompts.
  • System Design: High-level design rounds for mid-to-senior roles, with a security and scalability focus.
  • Behavioral: Storytelling rounds that test how you handle pressure, disagreement, and real production incidents.
1. Data Structures & AlgorithmsThe OA is where DSA gets tested most directly, with problems ranging from medium to hard difficulty. Classic topics include intervals, graph traversal, caching, and string problems, so having a strong handle on these is essential before anything else.Some of the most commonly reported problems include Merge Intervals, Design LRU Cache (often with a TTL follow-up that makes it significantly harder), and string manipulation tasks like Valid Anagram. Tree problems also come up, including variants like Remove Single-Child Nodes.One standout element is the networking-style coding problem. Expect something like implementing a socket-based script or an echo server, which is quite different from what most candidates prepare for. Brushing up on networking fundamentals alongside your DSA practice will give you a real edge here.For your core DSA preparation, working through our top 100 DSA questions is a solid starting point. Pay particular attention to intervals and graphs, which align closely with what PANW tends to test.
2. Low-Level DesignPANW's onsite loop has shifted toward practical engineering tasks, and the LLD round is a good example of that. You are typically given a vague prompt like 'design a rate limiter' and the interviewer is watching to see whether you ask clarifying questions before writing a single line of code.Common prompts include designing a Distributed Rate Limiter or a NAT service. The focus is on API design, clean class structure, and error handling rather than finding the optimal algorithm. Think about how you would make your code maintainable and testable by someone else on the team.The refactoring round falls into this same category. You will be handed working but messy code and asked to clean it up without breaking existing tests. Practicing on Low-Level Design problems and deliberately writing code that others can read is the best way to prepare.
3. System DesignFor mid-to-senior roles, expect a high-level design round that puts security and scalability front and center. Reported prompts include designing an SSL decryption pipeline, a NAT service, or a distributed logging system, all of which have a clear security angle.URL shortener style problems also appear, and working through something like Tiny URL is useful for building the structural thinking that carries over to more complex prompts. The Rate Limiter design is another strong one to have in your back pocket given how frequently it comes up.Spend time on our High-Level Design questions to build fluency with the key tradeoffs around scalability, fault tolerance, and data consistency. At PANW, being able to articulate the security implications of your design choices will set you apart from candidates who treat system design as a purely infrastructure exercise.
4. BehavioralPANW behavioral questions are grounded in real engineering situations rather than hypotheticals. The most commonly reported question is some version of 'tell me about a production bug you fixed under pressure', so have a specific story ready with a clear timeline and what you learned from it.Other common themes include handling disagreements with peers over technical decisions and, increasingly in 2026, how you use AI tools like GitHub Copilot in your workflow and how you verify the output. Interviewers are looking for critical thinking, not just enthusiasm for the tools.Structuring your answers using the STAR principle keeps your stories focused and easy to follow. The Behavioral Playbook is also worth working through if you want a bank of strong examples across different question types.
ConclusionThe Palo Alto Networks SWE interview rewards engineers who can read and improve existing code, communicate about systems clearly, and bring some understanding of networking to the table. Start with your DSA foundations, then shift your practice toward debugging, refactoring, and design. For a step-by-step preparation plan that ties all of this together, follow the Palo Alto Networks Interview Roadmap.