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About CloudMatos
CloudMatos 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 Overview
We’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 Responsibilities
AI Security
- Design 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 & Cloud
- Build 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 DevSecOps best practices.
Full-Stack Development
- Develop backend APIs and dashboards (Node.js, Python, React, Next.js).
- Build SDKs and integrations with OpenAI, Anthropic, and Azure AI.
- Create intuitive visualization and admin panels for AI-security data.
R&D and Threat Analysis
- Research 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 Collaboration
- Work 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 Skills
- 3–5 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 (OpenAI, Anthropic, Gemini, Claude) and AI-integration patterns.
- Familiarity with prompt-injection , AI data-leak risks , adversarial examples , or model poisoning .
- Experience with DevSecOps , CI/CD, IaC (Terraform / CloudFormation).
- Strong debugging, architecture, and system-design skills.
- Excellent communication and documentation habits.
Nice-to-Have
- Experience building AI agent frameworks (LangChain, CrewAI, AutoGen).
- 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.