Splunk Software Engineer interviews typically begin with a recruiter or HR screen, then a Karat- or HireVue-style timed assessment, followed by technical, system design, and behavioral rounds with engineers and managers. Reported timelines range from about two weeks to about a month.
$169K
Avg. Base Comp
$203K
Avg. Total Comp
3-7 rounds
Typical Rounds
2-4 weeks
Process Length
Splunk's software engineer interviews generally open with recruiter outreach or a short HR phone screen, then move into an early screening step. One candidate describes a Karat-administered round that paired 15 technical multiple-choice questions with a one-hour live coding session. In that session, the expectation was to solve two DSA problems, run the code, and verify it against test cases. Another candidate's Karat hour covered data structures and algorithms along with system design. An intern candidate instead faced a HireVue-style video interview with timed behavioral prompts, a live coding challenge, a code-improvement follow-up, and an interactive game.
Beyond that filter, the loop typically includes technical interviews with engineers. Reported questions include a hard dynamic programming regex-matching problem, a binary search and intervals question, a string manipulation problem using a hashmap, and a system design prompt to build a highly scalable Instagram-like service. A fullstack candidate described practical React work instead: implementing pagination, refactoring a component to use Context, and handling state management and events. Behavioral conversations with hiring managers, and for senior roles with product managers or a director, focus on past project leadership, handling setbacks, and debugging stories. One example is identifying which part of a slow query is consuming the most time.
Experiences vary. Some candidates found the loop friendly and well organized, while others reported vague or missing feedback after the Karat round and slow recruiter follow-up. One principal-level candidate received a downleveled offer after positive verbal signals across seven rounds, so senior candidates may want to confirm level and compensation early. Practice writing working, tested code under time pressure, and explain your reasoning as you go.
Synthesized from 16 candidate reports by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Splunk process.
The part that stood out most was the Karat interview, because it felt like the real gatekeeper and the feedback afterward was basically nonexistent. My process started with a 30-minute call with HR, which was straightforward, mostly about background and logistics. After that came a 1-hour Karat technical interview that covered data structures and algorithms along with system design. That round was pretty structured, but also a little frustrating because even if you felt like you answered everything well, you still didn’t get much signal on what the interviewer thought went wrong or right.
The next steps were longer and more team-facing: a 1-2 hour technical interview with team members and then a 1-hour interview with the manager. The technical portion leaned more toward fullstack work than pure algorithms. I was asked to implement pagination for a list of items, refactor a component to use Context, and handle more state management tasks and events. So it was less about tricky coding puzzles and more about practical React work and how you think through component design. The manager interview was mostly about past experience in detail, especially whether I had ever led a project, how it went, and how I handled hardships along the way.
Overall the process was pretty well organized, but it did take a lot of time. My impression was that Splunk cared about both technical depth and how you operate in a team setting. I ended up getting an offer, so the process was worth it, but I’d definitely go in expecting a long interview loop and a Karat round that doesn’t give you much feedback to calibrate on.
Prep tip from this candidate
Be ready for React-heavy tasks like pagination, Context, and state/event handling, not just algorithms. Also prepare a clear story about leading a project and explaining how you handled setbacks, since that came up directly in the manager round.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Splunk
Write a query that returns all neighborhoods that have 0 users.
| Question | |
|---|---|
| Basic Regex | |
| Slow SQL Query | |
| Last Page Number | |
| 2nd Highest Salary | |
| Merge Sorted Lists | |
| Top Three Salaries | |
| Closest SAT Scores | |
| Subscription Overlap | |
| Random SQL Sample | |
| Top 5 Turnover Risk | |
| Monthly Customer Report | |
| Largest Salary by Department | |
| Upsell Transactions | |
| Top 3 Users | |
| Find the Missing Number | |
| Longest Streak Users | |
| String Shift | |
| Scrambled Tickets | |
| Find Bigrams | |
| Comments Histogram | |
| Size of Joins | |
| Rolling Bank Transactions | |
| Customer Orders | |
| Prime to N | |
| Minimum Change | |
| Raining in Seattle | |
| Find the First Non-Repeating Character in a String | |
| Last Transaction | |
| Get Top N Frequent Words |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report that Splunk's process often starts with a recruiter reaching out directly, sometimes via LinkedIn, or with an HR phone screen of around 30 minutes. This stage typically covers background and logistics rather than technical content, and the recruiter may explain the next step, such as a Karat assessment.
A recurring early stage is a timed assessment administered through Karat or HireVue. One candidate described 15 technical multiple-choice questions plus a one-hour live coding session with two DSA problems. Another described a Karat hour covering DSA and system design. An intern candidate had timed behavioral video prompts, a live coding challenge, a code-improvement follow-up, and an interactive game. Feedback after the Karat round is often described as minimal.
Technical rounds vary by role. Reported problems include a hard dynamic programming regex-matching question, a binary search and intervals problem, and a string manipulation question using a hashmap. One senior candidate was asked to design a highly scalable Instagram-like system. A fullstack candidate described React tasks such as implementing pagination, refactoring a component to use Context, and handling state management and events.
Later rounds typically involve a hiring manager. For senior or principal roles, they can also include a product manager and a director of engineering. Candidates say these rounds focus on past project leadership, how they handled setbacks, and in some cases how they debug performance issues or identify which part of a query is consuming the most time.
Reported timelines include about two weeks from first contact to the final round and about a month for a longer senior loop. Communication between steps can be slow. One principal-level candidate said verbal feedback felt positive throughout but the final offer came at a lower level, so senior candidates may want to clarify leveling and compensation early.
