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Role practice
security interview practice
Выберите роль по направлению security, ответьте вслух на вопросы AI-интервьюера и получите вердикт по компетенциям после интервью.
8 ролейPythonAppSecCloud SecurityGo
Создать свое интервьюРоли для тренировки
Anthropic
security
Research Engineer / Scientist, Frontier Red Team (Cyber)
The Frontier Red Team evaluates the cyber and offensive-security capabilities of frontier models, building challenging environments and evaluations to measure what Claude can and cannot do in realistic attack scenarios. The role combines security domain expertise with ML experimentation to inform Anthropic's responsible scaling commitments. A technical interview would probe practical offensive-security knowledge (exploitation, CTF-style problem solving), how to design rigorous and non-gameable capability evaluations, and building RL or agentic environments that elicit and measure a model's security-relevant behavior.
PythonReinforcement LearningOffensive SecurityCerebras
security
Security SWE
Builds and hardens the security posture of Cerebras' cloud and on-prem inference infrastructure, automating detection, secrets management, and access controls across Linux fleets and containerized services. Works across infra and ML platform teams to secure the path from customer data to wafer-scale compute. A technical interview would probe threat modeling of a multi-tenant ML service, Linux/container security internals, and how you would design least-privilege access and detection for a high-throughput inference cluster.
PythonLinuxKubernetesCognition
security
Security Engineer
Secure Cognition's products and infrastructure as Devin autonomously reads, writes, and executes code inside customer environments, owning the threat model for an AI software engineer with broad access. You'll harden sandboxed execution, cloud infrastructure, and the agent's permission boundaries. A technical interview would probe how you'd isolate and contain arbitrary agent-run code, design least-privilege access for an autonomous agent, and reason about the unique attack surface created by an AI that can modify and deploy software.
Cloud SecurityAppSecSandboxingCursor
security
Software Engineer, Security
Secure Cursor's product and infrastructure as it handles proprietary source code for enterprise customers, covering application security, secrets handling, sandboxing of agent-executed code, and enterprise compliance. You'll threat-model an AI agent that reads and runs untrusted code on customer repositories. A technical interview would probe how you'd sandbox arbitrary code execution, design a least-privilege secrets architecture, and reason about the attack surface of an LLM agent with filesystem and shell access.
AppSecCloud SecurityTypeScriptOpenAI
security
Security Engineer, Application Security
Application Security Engineers architect and ship production-grade security services — auth services, access brokers, secure proxies, and key-management infrastructure — to reduce risk across OpenAI's products and platform. The role blends strong systems software engineering with isolation, container, and kernel-level hardening expertise. A technical interview would probe threat modeling of a real service, secure design of authn/authz and secrets handling, common web/API vulnerability classes, and reasoning about isolation boundaries for AI agents that execute untrusted code or tool calls.
PythonGoRustReplit
security
Lead Security Engineer
Lead security for Replit's AI coding products, pioneering research on the security of AI-generated ("vibe coded") software and working directly with the Agent to make its code generation safer for millions of developers. The role blends traditional application and cloud security with novel LLM-specific threat modeling like prompt injection and insecure code synthesis. A technical interview would probe web and cloud vulnerability classes, securing multi-tenant code-execution sandboxes, and how to detect and mitigate security flaws introduced by an LLM at generation time.
AppSecLLMsPythonStripe
security
Backend Engineer, AI Security
Builds backend systems that defend Stripe and its users against AI-enabled abuse, integrating model-driven detection into payment and account flows while keeping latency and reliability within Stripe's bars. Works at the intersection of security engineering and applied ML across high-volume services. A technical interview would probe secure system design for adversarial settings, tradeoffs of deploying ML in a latency-sensitive request path, and reasoning about evasion, false positives, and abuse-detection feedback loops.
RubyGoLLMsVercel
security
Software Engineer, CDN Security
Build the systems on Vercel's global edge network that detect malicious traffic and protect customers, including the scalable firewall and DDoS-mitigation layers that analyze requests at the CDN tier. The role mixes high-throughput, low-latency edge engineering with adversarial threat modeling. A technical interview would dig into HTTP and TCP/IP fundamentals, designing rate-limiting and rule-matching engines that run at edge scale, and reasoning about attacker behavior and false-positive tradeoffs.
GoRustNetworking
FAQ
Можно ли пройти интервью голосом?
Да. ExoForm проводит живое голосовое интервью, задает уточнения и после завершения показывает оценку и разбор ответов.
Нужно ли платить сразу?
Нет. Можно начать бесплатно, а позже перейти на платный план, если нужно больше тренировок.