i have a Splunk data engineering screen coming up in 3 weeks and I'm trying to get a picture of what the process looks like right now, post-Cisco deal. the info on Glassdoor is all over the place and a lot of it is clearly from 2021-2022.
anyone been through a loop in the last 6 months for any role? interested in: how many rounds total what the coding difficulty was like whether they asked Splunk-specific product knowledge how the behavioral component was weighted any vibe on how the acquisition is affecting culture/hiring
dropping all of it here if you have it.
4 replies
infra_ines
did a platform/infra loop at Splunk about 4 months ago. 4 rounds. coding was mediums, nothing brutal. one round was entirely system design, very focused on reliability and scale. behavioral was one round, two interviewers, structured. the interviewers mentioned the Cisco integration a few times unprompted, kind of acknowledged it's a transition period. overall vibes were fine, not warm but professional.
ds_dmitri
i went through a data science loop there maybe 5 months ago. for DS it was: recruiter screen, SQL + stats take-home (timed, 90 min), then onsite with 3 rounds: one ML depth, one product/analytics, one behavioral. no product knowledge questions but they definitely wanted you to talk about working with time-series data which is core to their use case.
sec_sasha
security eng loop, 3 months ago. they're hiring a lot on the security side given their SIEM and SOAR products. 5 rounds for me. they asked specifically about detection engineering and how I'd approach writing Splunk SPL queries in a hypothetical scenario. if you're in the security space, know their product at least at the conceptual level.
de_derek
this is really helpful, thank you all. sounds like the loop is 4-5 rounds, moderate coding, and they do care about data/scale context. I'll make sure I can talk through streaming ingestion and schema design at scale since that's literally what they sell.