AI Security & Cloud Engineer (Cybersecurity + Full-Stack)

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Test details

About CloudMatos

Prompt Firewall

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

hands-on AI Security Engineer / Full-Stack Developer

You'll lead the engineering of new security capabilities from API-level protections (Prompt Firewall) to enterprise-grade multi-agent controls (Aegis Gateway).

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

  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.