CloudSEK Interview Preparation
Medium-HardCybersecurity · Bengaluru
To produce machines that enable Digital Security by emulating human capability to learn and evolve. The future is : systems that can emulate human cognition to understand, learn, and adapt. CloudSEK has set its sights on building an AI based system that can navigate the internet like an intelligent human, albeit faster, more thoroughly, and with fewer errors. Innovation is the nexus of an unaddressed problem and determined problem-solver. And that’s what happened in 2015, when Rahul Sasi, the Founder and CTO of CloudSEK, realized that there wasn’t a comprehensive solution to monitor external cyber threats. There were internal threat monitoring solutions such as Anti-virus, IDS, and IPS, but these did not address the threats posed by the surface web, deep web, dark web, and internet-exposed infrastructure. The goal was to build an Al-based threat management platform that detects, analyses, and reports actionable threats to organizations. In its first iteration, our platform -XVigil, was partly manual and partly driven by machine learning. In its current avatar, the platform is wholly automated, gathering and analysing 37 GB of data every day. When the initial version was launched in 2017, we showcased the product to our friends in the industry, and within a few months, we had clicked our first order, from a US-based tech company. Over the years we have built a diverse team of ambitious individuals, whose complementary skills and working styles, has enabled us to serve 37 organizations globally. CloudSEK expanded operations in India, South East Asia and Americas We raised an $7 million investment (~INR 50 Cr) in Series A funding led by MassMutual Ventures. This brings the total investment in to ~$10 M. Read About the Funding We released a free, AI-powered DeepFake Video Analyzer to help people detect and prevent deepfake scams and misinformation. CloudSEK launched Nexus, an AI-powered cybersecurity command center that unifies threat intelligence, integrates attack surface insights, and translates complex cyber risks into clear, actionable business impact. In May 2025, CloudSEK raised $19 million across its Series A2 and B1 rounds, backed by investors like MassMutual Ventures, Inflexor Ventures, Prana Ventures, Tenacity Ventures, and Commvault. Early supporters such as the Meeran Family, StartupXSeed, Neon Fund, and Exfinity Ventures continue to back CloudSEK’s vision. CloudSEK secured a strategic investment from Connecticut Innovations, the venture capital arm of the State of Connecticut, as part of its $10 million Series B2 round. At CloudSEK, we comb
About CloudSEK
CloudSEK is an India-headquartered cybersecurity product company working on digital risk and external threat intelligence. Its platforms monitor the open, deep and dark web to find the exposures organisations do not know they have — leaked credentials, exposed infrastructure, impersonating domains, source-code leaks and chatter that precedes an attack. BeVigil, its attack-surface product, maps both known and unknown internet-facing assets belonging to an organisation, which is often where real breaches begin: a forgotten subdomain, an unmonitored API, a mobile app shipping a hard-coded key. The company combines machine learning with human threat research, and its analysts publish original research on active threat campaigns. Working here means seeing genuine adversary behaviour rather than textbook scenarios, which is the fastest way for an early-career security professional to build judgement. CloudSEK is based in Bengaluru and hires interns into both engineering and consulting-side security roles, offering competitive salary along with a broad set of perks and incentives. For students aiming at security engineering, DevSecOps or threat research, it is one of the more substantive Indian product companies to start in.
Interview Rounds4
2–3 DSA coding problems on HackerRank, CodeSignal, or company platform
Data structures & algorithms — arrays, trees, graphs, dynamic programming
System design or low-level design — scalability, APIs, databases
Career goals, teamwork, strengths/weaknesses, role expectations
Practice Questions10
Key Topics
- Data Structures & Algorithms150q
- System Design50q
- Object-Oriented Design40q
- SQL & Databases25q
- CS Fundamentals (OS, Networking)25q
Expert Tips
- Practice LeetCode easy and medium problems before the OA — focus on arrays, strings, trees, and graphs.
- For system design, use the RESHADED framework: Requirements, Estimation, Storage, High-level design, APIs, Detailed design, Evaluation.
- Prepare 3–4 STAR stories covering: a challenge you solved, a time you worked in a team, a project you owned end-to-end.
- After every coding solution, proactively state the time and space complexity — interviewers expect it.
- Study common CS fundamentals: process vs thread, TCP vs UDP, REST vs GraphQL, SQL indexing, CAP theorem.