AI Security & Cloud Engineer (Cybersecurity Full-Stack)

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Test details: https://docs.google.com/document/d/1M2nO77GO-BogYEl0NY4ceD60TtSJ2hFPnlW0lhizqDE/edittab=t.0#heading=h.vwab59sfmhv3

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.

Youll 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

Were looking for a hands-on AI Security Engineer / Full-Stack Developer with deep technical curiosity and solid cybersecurity fundamentals.

Youll 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

• 35 years in cybersecurity engineering or cloud security development.
• Strong

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  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.