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

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Test details : https : / / docs.google.com / document / d / 1M2nO77GO-BogYEl0NY4ceD60TtSJ2hFPnlW0lhizqDE / edit?tab=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.

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.