
Quantexa Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 205 interview experiences · FREE TO READ
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30 roles · 205 reportsCandidate interview experiences
First-hand accounts from people who interviewed at Quantexa.
Product Manager
Quantexa's interview process for a Product Manager role was logical and transparent from start to finish. The experience was well-structured, with each interviewer balancing technical competencies with a genuine effort to get to know me as a person. The process consisted of 4 stages: 1. Recruiter Screening Call. 2. Hiring Manager Interview. 3. Case Study Presentation & Q&A. 4. Head of Department Interview. Jonathan Holmes from the Talent Team was my primary contact and was excellent throughout. I was provided with comprehensive context and preparation materials before every stage. Most impressively, I received post-interview feedback in less than 24 hours every time. The speed and clarity of their communication truly set them apart from other companies.
- Regarding roadmap prioritization, how do you handle conflicting stakeholder demands?
- What's your strategy for managing estimate inaccuracy and potential engineering delays?
- Can you explain the differences in product strategy between B2B and B2C?
Technical Support Engineer
The interview process was great overall. Starting with the initial call with Jonathan Holmes and ending with the final interview with Faisal Kamal and James Cater. They kept me informed about what to expect at each step. Faisal and James were really friendly and made me feel comfortable during our chats. It was nice because sometimes interviewers seem uninterested, but they were not. They were open and honest the whole time. I also got fast and useful answers when I had questions, which made everything feel smooth, professional, and enjoyable.
- What support do you need from us to be successful in this role?
- Can you elaborate on your previous experiences mentioned in your CV?
- What would a typical day in this role involve for you?
Data Engineer
The interview process kicked off with an introductory phone call with the talent partner to get a feel for your background beyond the resume. If it seemed like a good fit, you'd move straight to the next stage. Then came a coding assignment, which you had seven days to complete using Scala and Spark, including writing test classes. The problems were pretty standard, mainly checking your grasp of functional programming since Quantexa heavily uses Scala/Spark. You'd submit your work via an online portal, and they'd let you know within a week if you made it to the final round. The last stage was a deep dive, lasting up to two hours with at least two senior engineers. It had three parts: first, a 15-minute presentation of a past project, followed by Q&A. Second, a review of your coding assignment, discussing potential changes, tests, and your design choices. Finally, a case study exercise mimicking Quantexa's daily tasks, focusing on your reasoning, detail-orientation, and problem-solving skills, rather than heavy coding.
- What makes you want to work for Quantexa?
- What's your motivation for this particular role?
Devops Engineer
I applied through an external recruiter. The first round involved a discussion with the Hiring Manager and an engineer, covering many technical aspects from the job description, with a strong emphasis on Kubernetes. I answered all questions easily. There was also a live coding assessment that was straightforward, using a LeetCode style. The second round was a take-home practical test where I had to deploy an application in Kubernetes and detail all the steps, which was quite simple for someone experienced with k8s. The third round was meant to be a presentation of a past work or personal project to a panel of engineers. They seemed very interested in moving forward, but then communication slowed down, and they stopped responding to my emails even after I followed up multiple times. Despite providing comprehensive answers in the interview and the practical test, detailing everything I did, they ultimately stated I lacked sufficient experience and my salary expectations were too high, even though they were within their stated range. It felt like a complete joke, as if they were just looking to hire someone cheap for a senior role.
- Tell me about the strategies for scaling an app in Kubernetes, specifically horizontal and vertical options.
- Could you explain the distinctions between a Deployment, a Statefulset, and a Daemonset?
- Can you discuss various technical aspects of the job description, with a particular focus on Kubernetes?
Quantexa Interview Questions
Quoted word for word from Quantexa interview reports.
“Given a list of daily stock prices, what's the most efficient algorithm to find the maximum possible profit for that day?”
Read reports →“How would you find the maximum profit from buying and selling a stock once during the day, given its price fluctuations? Make sure your solution is efficient and not just brute-force.”
Read reports →“Could you write a function that efficiently calculates the maximum profit from a single stock purchase and sale, given a list of yesterday's stock prices?”
Read reports →“Could you write a brief script, using a programming language of your choice, to process a document, identify words that appear at least twice, and count their occurrences?”
Read reports →“Could you write some code that takes a text file of any size and counts the number of words, then prints out any that show up more than twice? Also, what improvements could be made for a super long file?”
Read report →“Given a network diagram, what inferences can you make based on the labeled nodes, edges, and the network overall?”
Read report →“Can you explain how you'd set up Kubernetes to monitor for overloaded memory in a pod?”
Read report →“Could you describe the reasons behind limiting the scalability of a given application in Kubernetes?”
Read report →“Regarding Kafka, could you explain topics and partitions, and what factors go into provisioning capacity for a Kafka cluster?”
Read report →Formats, difficulty and experience
Across all 205 Quantexa interview reports.