Cloud Security specialist

We are seeking a Cloud Security specialist/consultant with hands-on expertise across major cloud platforms, particularly AWS and Microsoft Azure, to secure, govern, architect, and optimize enterprise cloud environments. The primary focus is on strong cloud security and cloud enablement experience, including solution architecture, governance, cybersecurity, risk management, and secure-by-design implementation. In addition to core cloud capabilities, experience in AI security and DevSecOps practices will be considered an advantage. The ideal resource should be capable of providing both strategic advisory services and hands-on delivery within large-scale, enterprise environments.

Responsibilities

Cloud Expertise

• Resources must demonstrate proven experience delivering enterprise-scale cloud, AI, endpoint security, cyber risk management, and infrastructure transformation initiatives
• Deep hands-on expertise across Cloud platforms, including but not limited to Amazon web services, Microsoft Azure.
• Strong understanding of how Cloud technologies integrate across identity, collaboration, security, infrastructure, and data platforms.
• Ability to architect, optimize, and implement solutions leveraging the Cloud capabilities to support business, operational, compliance, and security objectives.
• Proven experience in cloud configuration, governance, administration, security hardening, and adoption enablement.

List of Deliverables/Outputs: Security-Driven Delivery, Governance & Cybersecurity

• Strong understanding of enterprise security principles, cybersecurity frameworks, governance models, and secure-by-design methodologies.
• Ability to embed security controls, compliance requirements, identity governance, risk mitigation, and operational security into all solution designs.
• Experience in driving security maturity improvements across cloud, identity, collaboration, infrastructure, endpoint security, and data protection.
• Ability to identify vulnerabilities, security gaps, compliance concerns, and remediation opportunities.

AI Security

• Securing AI/ML systems and pipelines
• Familiarity with security frameworks such OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, Mitre ATLAS
• Managing risks such as:
• Model poisoning
• Data leakage
• Prompt injection
• Implementing governance and controls for AI usage
• Experience with cloud AI services such as Amazon Bedrock, Azure AI Foundry

DevSecOps

• Integrate security into CI/CD pipelines
• Use tooling such as:
• o SAST / DAST / SCA
• o Container security solutions
• Infrastructure-as-Code (IaC) scanning
• Promote shift-left security practices

Solution Design, Architecture & Implementation

• Demonstrated ability to assess business requirements, design scalable enterprise solutions, and lead end-to-end implementation.
• Capability to translate functional and technical requirements into secure, sustainable, and fit-for-purpose architectures.
• Experience across the full solution lifecycle including discovery, planning, architecture, build, testing, deployment, transition, support, optimization, and continuous improvement.
• Ability to provide both strategic solutioning and hands-on implementation support.

Cyber Risk Management

• Demonstrated experience in cyber risk identification, assessment, mitigation, monitoring, and reporting across enterprise environments.
• Ability to evaluate security threats, vulnerabilities, operational risks, and business impacts across cloud, infrastructure, endpoints, identity, and data environments.
• Experience implementing risk-based security controls, remediation strategies, and continuous monitoring processes.
• Strong understanding of cyber risk frameworks, governance models, compliance obligations, and audit readiness.
• Ability to align cyber risk management practices with broader enterprise risk, business continuity, disaster recovery, and security strategies.
• Experience in reducing organizational exposure through proactive risk assessments, threat prioritization, and security improvement initiatives.

Qualifications

• Matric and a Bachelor's Degree in Information Technology, Computer Science, Cybersecurity, Engineering, or a related field.
• Minimum 8–10 years' experience in cloud security, cybersecurity, solution architecture, or related disciplines.
• Proven experience delivering enterprise-scale cloud and security transformation initiatives.

Certifications

• Relevant certifications in Amazon Web Services, Microsoft Azure, Security, Cybersecurity, Risk Management, AI, or Enterprise Architecture will be considered advantageous.