Ai security & cloud engineer (cybersecurity + full-stack)

In order to proceed further, you have to take the test.Test details : M2n O77 GO-Bog YEl0 NY4ce D60 Tt SJ2h FPnl W0lhizq DE / edit?tab=t.0#heading=h.vwab59sfmhv3About Cloud MatosCloud Matos is a next-generation cloud-security and AI-security platform designed for modern SMBs. We build intelligent security solutions across CNAPP, ASPM, ASM, API security — and now, AI-security products such as Prompt Firewall and Aegis Gateway that protect LLMs, agents, and enterprise AI systems from real-world threats.You’ll join a small, high-velocity team working directly with the founder to design, build, and deploy AI-security capabilities that define how organizations safely adopt AI.This Test is a required as part of the evaluation process. Role OverviewWe’re looking for a hands-on AI Security Engineer / Full-Stack Developer with deep technical curiosity and solid cybersecurity fundamentals.You’ll lead the engineering of new security capabilities — from API-level protections (Prompt Firewall) to enterprise-grade multi-agent controls (Aegis Gateway).This is a hybrid role blending secure software design, AI-model threat analysis, and modern cloud architecture.Key ResponsibilitiesAI SecurityDesign and build LLM / AI security controls such as prompt firewalls, DLP, red-team test harnesses, and output filters.Develop model-scanning tools for poisoning, vulnerabilities, and compliance gaps.Integrate telemetry and runtime policy enforcement into Aegis Gateway.Cybersecurity & CloudBuild and secure cloud-native microservices on AWS, Azure, or GCP.Implement zero-trust IAM, policy-as-code, and container / runtime hardening.Automate deployments and monitoring with Dev Sec Ops best practices.Full-Stack DevelopmentDevelop backend APIs and dashboards (Node.js, Python, React, Next.js).Build SDKs and integrations with Open AI, Anthropic, and Azure AI.Create intuitive visualization and admin panels for AI-security data.R&D and Threat AnalysisResearch emerging AI-security threats (prompt injection, jailbreaks, model leaks).Conduct threat modeling for LLMs, agents, and data pipelines.Collaborate with open-source or academic partners on AI-security research.Product CollaborationWork directly with the founder on roadmap and architecture.Contribute to patents, whitepapers, and internal engineering frameworks.Write clean, well-documented, secure code with test automation.Required Skills3–5 years in cybersecurity engineering or cloud security development.Strong full-stack proficiency — Node.js / Python / Go / React / Next.js.Solid understanding of OWASP, API security, container / runtime security, and IAM.Hands-on experience with LLM APIs (Open AI, Anthropic, Gemini, Claude) and AI-integration patterns.Familiarity with prompt-injection, AI data-leak risks, adversarial examples, or model poisoning.Experience with Dev Sec Ops, CI / CD, Ia C (Terraform / Cloud Formation).Strong debugging, architecture, and system-design skills.Excellent communication and documentation habits.Nice-to-HaveExperience building AI agent frameworks (Lang Chain, Crew AI, Auto Gen).Prior work on AI SPM / model observability / policy engines.Cloud security certs (AWS Security Specialty, GCP Security, CISSP, CCSP).Exposure to RAG pipelines, vector DBs, or LLMOps.Open-source security contributions or public research.