# Inside the Upwind Interview for Cloud Security Engineers

Source: https://www.techinterview.org/post/3233477519/upwind-interview-guide/
Updated: 2026-09-26 · techinterview.org

Upwind is a runtime-first cloud-native application protection platform (CNAPP): it deploys eBPF sensors that watch what workloads actually do in production, pairs that with agentless scanning of cloud configuration, and layers AI agents on top to investigate and triage alerts. It hit unicorn status in January 2026 with a $250 million Series B at a $1.5 billion valuation led by Bessemer Venture Partners, then raised $300 million at a $3.8 billion valuation in September 2026, co-led by Bessemer and TCV. Public candidate reports are thin: Glassdoor describes an HR call, a team-lead call, and an in-office technical, with a roughly 28-day average and one recurring complaint that the process varies by interviewer. Most engineering hiring is in Tel Aviv, with more in Belfast and Iceland and validation teams in India and Ukraine, so comp anchors to those markets, not to San Francisco. The round-level detail below is reconstructed from how comparable cloud-security startups hire, and labeled that way.

Upwind's whole pitch is a reaction to how the previous generation of cloud security worked. Posture tools scanned your configuration and told you what could go wrong in theory; they buried teams in findings that might never touch a running process. Upwind's answer is to start from runtime. Its eBPF sensors sit in the Linux kernel and observe live workloads without instrumenting them, so the platform sees which container actually opened a socket, which process actually read a secret, and which API is actually taking traffic. That runtime picture then filters the mountain of config findings down to the handful that involve something really executing. Understanding that inversion is the fastest way to understand why the interview asks what it asks.

The people building it have done this before. Amiram Shachar founded Upwind in 2022 with Liran Polak, Lavi Ferdman, and Tal Zuri, the same team behind Spot.io, the cloud-cost-optimization company NetApp bought in 2020. A repeat founding team that already shipped and sold cloud infrastructure hires like one: the bar is production judgment, not competitive-programming trivia. As of the January 2026 Series B, Upwind reported 900% year-over-year revenue growth and 200% growth in customer logos, a company moving fast enough that the interview process itself is still being standardized.

One disambiguation before you prep, because the name is crowded. This is Upwind the cloud-security company at upwind.io, founded by Shachar. It is not UpWind Solutions, the wind-turbine operations-and-maintenance firm you will find on Indeed, and not Upwind Technology, a separate employer with its own Glassdoor page. If a result is about turbines or field service, it is the wrong Upwind. Anchor everything on CNAPP, eBPF, and the Spot.io lineage.

## Why the questions look the way they do

Upwind's hard problems are not algorithmic puzzles; they are systems problems at telemetry scale. eBPF sensors on tens of thousands of hosts emit a firehose of events, and the platform has to ingest that without dropping data or bankrupting itself on egress and storage, correlate a kernel event with a Kubernetes pod and a cloud API call, and surface a real detection fast enough to matter mid-incident. So the loop leans on distributed-systems reasoning, data-pipeline design, and cloud-security domain knowledge rather than clever one-liners. Its true nearest-neighbors are the CNAPP and runtime-security platforms with guides here: [Wiz](/companies/wiz-interview-guide/) and [Orca Security](/companies/orca-security-interview-guide/) on the CNAPP side, [SentinelOne](/companies/sentinelone-interview-guide/) on detection and response; the reconstructed loop below is built from how they hire. Vanta is another security company, but its work differs sharply, automating compliance evidence rather than living in the kernel and the packet path, so it is a weaker comparison for this role.

## What the Upwind interview loop probably contains

The reported spine is short: candidates describe a recruiter or HR call, a conversation with the team lead, and an in-office technical, over roughly four weeks. One repeated caution: consistency depends on the interviewer, common at a company hiring this fast. Treat the stage breakdown below as a representative cloud-security-startup loop, part reported from Glassdoor and part reconstructed from how Wiz, Orca, and SentinelOne hire, not a verified Upwind script, and confirm the real shape with your recruiter on the first call. In particular, ask whether there is a take-home before the on-site; in-office technicals at Israeli-founded security startups often follow one, but there is no public confirmation that Upwind uses it. The in-office technical is presumably held in Tel Aviv or your local hub, and Belfast or Iceland candidates may interview remotely, so confirm the location with your recruiter.

| Upwind interview stage | Format and length | What it screens for | Source |
| --- | --- | --- | --- |
| Recruiter / HR screen | ~30 min phone | Background, which track you fit (backend, cloud-security validation, detection, frontend), location and work authorization | Reported (Glassdoor) |
| Team-lead call | 45-60 min | A system or component you owned, the hardest production tradeoff you made, and why cloud security | Reported (Glassdoor) |
| Technical / coding round | ~60 min | Practical coding in your language: parse, dedup, or aggregate a stream of events, reason out loud about edge cases | Reported, partial detail |
| System / pipeline design | ~60 min | Design the telemetry ingestion and correlation path at scale; handle backpressure, cost, and lossy upstreams | Inferred from CNAPP peers |
| Domain deep-dive | ~45-60 min | For backend: distributed systems and cloud internals. For security: cloud attack paths, detection logic, eBPF and Linux | Inferred from CNAPP peers |
| Founder / values round | ~45 min | Ownership, speed in a small org, and appetite for an ambiguous, fast-moving problem space | Inferred from CNAPP peers |

The "system you owned end to end" framing is dialed up for senior candidates; a mid-level engineer around four years in is judged on clear ownership of a component, not org-wide architecture, so scope your stories to your level. What a loop like this rewards is whether your answers survive the follow-up. Claim an ingestion design and expect to be asked the event volume per host per second and what happens when a downstream store falls behind; claim a detection is accurate and expect to be asked its false-positive rate on benign-but-noisy behavior. Bring real numbers from your own work, because round figures collapse the moment an interviewer asks where they came from.

### Backend and infrastructure roles

This is the largest engineering surface, concentrated in Tel Aviv with more in Belfast and Iceland, and it is the engine room. The signature design prompt is Upwind's own pipeline: fan eBPF events in from a large fleet of sensors, correlate each with its Kubernetes and cloud-provider context, hold recent state so detections can reason about a sequence of actions rather than a single event, and store it as something a customer can query fast. Expect questions phrased close to "walk me through what happens from the moment a sensor sees a syscall to when an alert lands in the console," and "how would you ingest from a hundred thousand agents without dropping events or blowing up your cloud bill." Be ready to reason about idempotent retries when a batch half-fails, backpressure when one region floods you, and how you keep query latency flat as data grows. This is standard fare for a [system-design interview](/system-design-interview-guides/), extended with the telemetry-at-scale twist that defines the company. The coding round stays practical: a stream-processing or aggregation problem where a warm-up on [time and space complexity](/big-o-cheat-sheet/) and the common [coding patterns](/algorithm-patterns-cheat-sheet/) covers the algorithmic slice, and comfort with the kind of grouping and windowing you see in [SQL interview questions](/post/3233474463/sql-interview-questions-2025-window-functions-cte-joins-subqueries-indexing-query-optimization-transactions-normalization/) helps once you are aggregating events over time.

### Cloud-security and detection roles

Upwind also hires cloud-security validation engineers and detection-focused roles, and here the domain knowledge is the interview. The core question is how you tell a real attack apart from noisy but benign runtime behavior, because a CNAPP that cries wolf gets muted, and a muted tool protects nothing. Expect to reason about cloud attack paths: how a misconfigured IAM role plus a running workload plus an exposed API chain into an actual exploit, and how runtime evidence collapses a thousand theoretical findings into the few that matter. Be ready to explain eBPF at the level of what it lets you see, why observing a process from the kernel differs from instrumenting it, and what a sensor can and cannot capture. Detection design comes up too: how you would write a rule that catches container escape or credential theft without drowning an on-call engineer, and how you would test it against benign traffic that looks superficially similar. Fluency with Linux internals, Kubernetes, and the major cloud providers' identity and networking models is the differentiator on this track.

## How to read the comp

Upwind does not publish salary bands on its job postings, so treat any single number with suspicion and triangulate. The most important fact is geographic: the core engineering org sits mostly in Tel Aviv, with backend and frontend roles also in Belfast and Iceland, while the US listings skew go-to-market. Because of that split, do not assume Upwind is a US-visa-sponsorship route for an engineering role; confirm with the recruiter if you need it. The India and Ukraine openings are cloud-security validation engineer roles, a test-and-validation-adjacent profile distinct from Tel Aviv backend work and on a different comp profile, so India-based readers should be clear which they are being hired into. levels.fyi has an Upwind Security page, but its few data points lean toward US commercial roles, so a Tel Aviv or Europe engineering candidate should not anchor on them. The practical move: check the levels.fyi page for your role and location, compare against local market data for cloud-infrastructure engineers at well-funded startups, and ask the recruiter for the band before the on-site. Whatever the base, at a $3.8 billion valuation the equity assumptions do heavy lifting, so pin down whether the grant is options or RSUs, the strike or grant price, vesting, and your level. Run the full package through a [total-comp calculator](/total-comp-calculator/), and a [salary-negotiation walkthrough](/post/3233474669/salary-negotiation-2026/) covers how to push once you have an offer. Equity at this stage is upside, not paycheck.

## How to prepare

Prepare for the track you are actually interviewing for. Backend candidates should rehearse the telemetry pipeline out loud, because some version of it will come up: ingestion from a large sensor fleet, correlation across kernel and cloud context, cost control, and low-latency query over a growing store. Have one or two systems you owned that you can defend down to the tradeoff you would revisit. Detection and cloud-security candidates should be able to reason about attack paths, write and test a detection rule, and explain eBPF and Linux process behavior without hand-waving; knowing where a rule quietly generates false positives is exactly the judgment they are buying. Everyone should understand the runtime-first thesis well enough to say why it beats posture-only scanning, because the founders will notice if you do not. The behavioral and founder rounds are standard startup ownership territory, so a [STAR-method walkthrough](/post/3233460379/behavioral-interview-questions-2026-star-method-amazon-leadership-principles-and-winning-answers/) helps you tell those stories tightly, and a lightweight [study plan](/study-plan/) over a couple of weeks keeps the coding sharp. To see how this loop sits next to other security companies, browse the full set of [company interview guides](/companies/).

Two things will likely decide a loop like this. Can you build a pipeline that stays accurate under real production load, and can you tell a genuine threat apart from the noise a busy cloud generates every second. The second question is the entire product, and it is where an Upwind interview will make its call.