Are you passionate about securing enterprise cloud environments and shaping secure-by-design solutions? We’re 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 You’ll 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.

RequirementsWhat 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

Desired Skills:

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

Desired Qualification Level:

  • Degree

About The Employer:


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