Software EngineerSoftware Engineer (SWE)Medium to Hard
The P2 Software Engineer interview at Splunk is designed to assess a candidate's technical proficiency, problem-solving abilities, and cultural fit within the company. It typically involves multiple rounds, including technical assessments, behavioral questions, and a discussion about past projects and experiences. The goal is to identify engineers who can contribute effectively to Splunk's innovative environment and complex technical challenges.
Rounds·4
Timeline·~10d
Experience·2 - 5 yrs
Comp band·US$110000 - US$150000
Interview time·180 min
Evaluation
What they measure.
Problem-solving skills
Technical depth in relevant areas (e.g., data structures, algorithms, system design)
Coding proficiency and best practices
Communication and collaboration skills
Cultural fit and alignment with Splunk's values
Ability to articulate thought process
Clarity of explanations
Active listening skills
Ability to ask clarifying questions
Past project experience and impact
Ownership and accountability
Learning agility and adaptability
Enthusiasm for Splunk's mission
Preparation
How to prepare.
Tips
01Review fundamental computer science concepts: data structures, algorithms, operating systems, and networking.
02Practice coding problems on platforms like LeetCode, HackerRank, or Coderbyte, focusing on medium to hard difficulty.
03Study system design principles and common architectural patterns.
04Prepare to discuss your past projects in detail, focusing on your contributions, challenges, and outcomes.
05Research Splunk's products, culture, and recent news.
06Prepare answers to common behavioral questions using the STAR method (Situation, Task, Action, Result).
07Practice explaining technical concepts to both technical and non-technical audiences.
08Prepare questions to ask the interviewer about the role, team, and company.
Study plan
Fig · Study plan — 04 phases
01 / 04
01
Phase 01 of 04
Data Structures and Algorithms
Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).
Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash tables, sorting, and searching algorithms. Practice implementing these and analyzing their time and space complexity. Aim for 2-3 coding problems per day.
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and practice.
Weeks 3-4: Dive into System Design. Study concepts like scalability, availability, reliability, load balancing, caching, databases (SQL vs. NoSQL), and message queues. Work through common system design interview questions and practice drawing diagrams.
03
Phase 03 of 04
Behavioral and Project Experience
Week 5: Behavioral questions (STAR method) and resume review.
Week 5: Behavioral and Project Deep Dive. Reflect on your past projects and prepare detailed STAR method answers for common behavioral questions related to teamwork, problem-solving, leadership, and handling failure. Also, prepare to discuss your resume in detail.
04
Phase 04 of 04
Company Research and Mock Interviews
Week 6: Splunk research and mock interviews.
Week 6: Splunk Specifics and Mock Interviews. Research Splunk's products, values, and recent news. Conduct mock interviews with peers or mentors, focusing on both technical and behavioral aspects. Refine your answers and identify areas for improvement.
Questions
Commonly asked.
Given an array of integers, find the contiguous subarray with the largest sum.
Design a URL shortening service like bit.ly.
How would you design a system to track user activity on a website?
Tell me about a time you had to deal with ambiguity in a project.
What are the trade-offs between microservices and a monolithic architecture?
Explain the concept of eventual consistency.
Describe a situation where you had to influence a decision made by your team.
How do you approach testing your code?
What is a deadlock and how can it be prevented?
Tell me about your experience with distributed systems.
Locations
Regional differences.
Fig · Regions — 03 locations
01 / 03
Location
San Francisco Bay Area
Interview focus
Emphasis on distributed systems and scalability.Strong focus on practical problem-solving and debugging skills.Assessment of collaboration and communication in a team setting.
Common questions
How would you design a distributed caching system for a web application?
Describe a challenging bug you encountered and how you debugged it.
Tell me about a time you had to work with a difficult stakeholder.
Tips
Be prepared to discuss specific examples of large-scale systems you've worked on.
Practice explaining complex technical concepts clearly and concisely.
Highlight instances where you've influenced technical decisions or mentored junior engineers.
Location
Seattle
Interview focus
Focus on cloud-native technologies and services.Assessment of data management and database optimization skills.Evaluation of adaptability and learning agility in a fast-paced environment.
Common questions
How would you optimize a SQL query for performance?
Describe your experience with cloud platforms like AWS or Azure.
Tell me about a time you disagreed with a team member and how you resolved it.
Tips
Familiarize yourself with Splunk's cloud offerings and how they are used.
Be ready to discuss your experience with CI/CD pipelines and DevOps practices.
Showcase your ability to learn new technologies quickly and apply them.
Location
Remote
Interview focus
Emphasis on real-time data processing and analytics.Assessment of ability to manage and refactor legacy code.Evaluation of resilience and learning from setbacks.
Common questions
How would you design a real-time data processing pipeline?
Describe a project where you had to deal with significant technical debt.
Tell me about a time you failed and what you learned from it.
Tips
Understand Splunk's core products and their use cases in data analytics.
Prepare to discuss your approach to code quality and maintainability.
Be open about your learning process and how you handle challenges.
Rounds
Round-by-round.
Expand a step for evaluation criteria, sample questions, and prep notes.
Easy
HR/Recruiter Screen · 30 min · Recruiter / HR
This initial or final touchpoint with HR or a recruiter is to ensure alignment on basic qualifications, expectations, and logistics. They will discuss the role in more detail, answer any questions you might have about compensation, benefits, and the overall hiring process. This is also an opportunity for them to gauge your interest and cultural fit.
What they look for
Clear understanding of the role.Genuine interest in Splunk.Professionalism and good communication.Alignment on expectations (salary, role, growth).
Evaluation
Candidate's understanding of the role and responsibilities.
Alignment of candidate's expectations with the company's offerings.
Candidate's enthusiasm and engagement.
Logistics and administrative details.
Sample questions
What are your salary expectations for this role?
HRCompensation
What do you know about Splunk?
HRCompany Knowledge
Do you have any questions for me about the role or the company?
HREngagement
Prep for this round
01Be prepared to discuss your salary expectations.
02Have questions ready about the role, team, company culture, and benefits.
03Reiterate your interest in the position and Splunk.
04Ensure your resume is up-to-date and you can speak to all points on it.
Common rejection reasons
×Lack of alignment between candidate's expectations and the role/company.
×Unrealistic salary expectations.
×Poor understanding of the role's responsibilities.
×Lack of enthusiasm or engagement.
Med
Technical Coding Interview · 45 min · Software Engineer (Peer)
This round focuses on your core programming skills. You will be given one or two coding problems, typically involving data structures and algorithms. The interviewer will assess your ability to understand the problem, devise a solution, write clean and efficient code, and test it thoroughly. Expect to explain your thought process and discuss the time and space complexity of your solution.
What they look for
Clean, well-structured, and efficient code.A systematic approach to problem-solving.Understanding of time and space complexity.Ability to communicate the solution effectively.
Evaluation
Correctness of the solution
Efficiency of the solution (time and space complexity)
Code readability and maintainability
Problem-solving approach
Ability to handle follow-up questions and edge cases
Sample questions
Given a binary tree, invert the tree.
Data StructuresAlgorithmsTreesRecursion
Find the kth largest element in an unsorted array.
Data StructuresAlgorithmsArraysSortingHeaps
Implement a function to check if a string is a palindrome, ignoring non-alphanumeric characters and case.
StringsAlgorithmsTwo Pointers
Prep for this round
01Practice coding problems on platforms like LeetCode, focusing on medium difficulty.
02Review common data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, graph traversal).
03Practice writing code on a whiteboard or in a shared editor without relying on IDE features.
04Think out loud and explain your approach before you start coding.
Common rejection reasons
×Inability to articulate thought process clearly.
×Poor coding practices or syntax errors.
×Failure to consider edge cases or optimize solutions.
×Lack of understanding of fundamental data structures and algorithms.
Hard
System Design Interview · 60 min · Senior Software Engineer / Architect
This round evaluates your ability to design scalable, reliable, and maintainable software systems. You'll be presented with a high-level problem (e.g., design Twitter's feed, design a URL shortener) and expected to break it down, discuss requirements, propose an architecture, and justify your design choices. Focus on components, data flow, APIs, databases, caching, and potential bottlenecks.
What they look for
A structured approach to designing complex systems.Knowledge of distributed systems principles.Ability to identify and mitigate potential issues.Clear communication of design choices.
Evaluation
System design approach
Scalability and performance considerations
Reliability and fault tolerance
Understanding of trade-offs
Clarity of design and communication
Sample questions
Design a system to count the number of views for a YouTube video.
System DesignScalabilityDatabasesCaching
Design a rate limiter.
System DesignDistributed SystemsAlgorithms
Design a distributed key-value store.
System DesignDistributed SystemsDatabases
Prep for this round
01Study common system design patterns and concepts (e.g., load balancing, caching, databases, message queues).
02Practice designing well-known systems.
03Be prepared to discuss trade-offs between different design choices.
04Draw clear diagrams and explain your reasoning.
05Consider scalability, availability, and consistency.
Common rejection reasons
×Lack of understanding of distributed system concepts.
×Inability to design scalable and reliable systems.
×Poor consideration of trade-offs and constraints.
×Not addressing potential failure points or bottlenecks.
Med
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
This round focuses on your past experiences, how you handle different situations, and your overall fit with Splunk's culture. Expect questions about your strengths and weaknesses, how you work in a team, how you handle conflict, your motivations, and your career aspirations. Use the STAR method to provide specific, concise examples.
What they look for
Examples of collaboration and teamwork.Demonstrated problem-solving skills in real-world scenarios.Alignment with Splunk's values (e.g., innovation, customer focus, integrity).Enthusiasm and a positive attitude.