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.