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Cloud Security specialist


Job Location:

Johannesburg - South Africa

Monthly Salary: Not provided by the employer
Experience Required: 5years
Posted: 9 July 2026 (30+ days ago)
Application Deadline: 6 October 2026
Vacancies: 1 Vacancy

Job Summary

Are you passionate about securing enterprise cloud environments and shaping secure-by-design solutions Were looking for an experienced Cloud Security Consultant to lead cloud security strategy architecture governance and hands-on implementation across large-scale enterprise environments.

This is an opportunity to work with cutting-edge AWS Azure AI Security and DevSecOps technologies while influencing enterprise security transformation.

What Youll Do
  • Design implement and secure enterprise cloud environments across AWS and Microsoft Azure.
  • Develop secure cloud architectures aligned to business compliance and cybersecurity requirements.
  • Lead cloud governance security hardening identity governance and risk management initiatives.
  • Conduct security assessments identify vulnerabilities and drive remediation strategies.
  • Embed secure-by-design principles throughout the solution lifecycle.
  • Implement and mature DevSecOps practices across CI/CD pipelines.
  • Secure AI/ML platforms and cloud AI services including Amazon Bedrock and Azure AI Foundry.
  • Provide strategic advisory while remaining hands-on with implementation and delivery.
  • Produce architecture documentation governance artefacts security standards and operational run books.
  • Collaborate with business security architecture infrastructure and compliance teams to deliver secure enterprise solutions.




Requirements
What you will require to have
Cloud Security
  • Extensive hands-on experience with AWS and Microsoft Azure
  • Cloud architecture governance administration and security hardening
  • Identity and Access Management (IAM)
  • Infrastructure networking endpoint and data security
  • Cloud adoption and enterprise transformation
Cybersecurity & Governance
  • Enterprise security architecture
  • Cyber risk management and threat mitigation
  • Security frameworks and governance
  • Compliance and audit readiness
  • Secure-by-design implementation
AI Security (Advantageous)

Experience securing AI platforms including:

  • AI/ML security
  • Model poisoning prevention
  • Prompt injection protection
  • Data leakage controls
  • AI governance
  • OWASP Top 10 for LLM & Agentic Applications
  • MITRE ATLAS
  • Amazon Bedrock
  • Azure AI Foundry
DevSecOps

Experience integrating security throughout the software delivery lifecycle:

  • CI/CD security
  • Shift-left security
  • SAST DAST & SCA
  • Container security
  • Infrastructure-as-Code (IaC) scanning



Required Skills:

AI/ML Security Frameworks DevSecOps Cloud Platforms Cyber Security management Infrastructure Transformation