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

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

CloudMatosbhubaneswar, India
11 hours ago
Job description

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Test details : 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.
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    Cloud Security Engineer • bhubaneswar, India