Cloud Security Specialist / Consultant
RemoteSouth Africa
South AfricaRemoteContractMedium
ContractMedium
Job Summary
Architect, optimize, and implement secure cloud solutions across AWS and Microsoft Azure environments, integrating identity governance, risk mitigation, and secure-by-design methodologies into all delivery lifecycles. Lead end-to-end implementation of AI security controls for ML pipelines and DevSecOps practices, including SAST/DAST scanning and IaC hardening, while conducting proactive cyber risk assessments and remediation. Provide strategic advisory and hands-on support for enterprise-scale cloud enablement, ensuring compliance with frameworks like OWASP Top 10 and Mitre ATLAS. Deliver high-quality architecture documentation, risk registers, and operational runbooks to support organizational resilience and audit readiness.
Required Qualifications
- 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
- 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
- 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
- Integrate security into CI/CD pipelines
- Use tooling such as: SAST / DAST / SCA, Container security solutions, Infrastructure-as-Code (IaC) scanning
- Promote shift-left security practices
- 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
- 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
- Demonstrated ability to work in a disciplined, structured, and methodical manner
- Strong planning, prioritization, documentation, governance, and execution capabilities
- Ability to consistently follow delivery frameworks, security standards, and quality assurance processes
- High degree of precision, diligence, and accuracy across analysis, architecture, implementation, validation, and documentation
- Ability to proactively identify risks, dependencies, security concerns, configuration issues, compliance gaps, and operational impacts
- Strong quality focus ensuring alignment with technical, regulatory, security, and business requirements
- Ability to assess complex technical, operational, and cyber-related challenges and provide practical, scalable, and secure recommendations
- Strong analytical and troubleshooting skills across infrastructure, cloud, identity, security, and risk domains
- Ability to align technical and security decisions with long-term business resilience and operational strategy
- Strong communication and stakeholder engagement skills across business, architecture, operations, security, compliance, and risk teams
- Ability to facilitate workshops, gather requirements, provide advisory guidance, and drive alignment across multiple workstreams
- Experience working within enterprise, cross-functional, and governance-heavy environments
- Ability to produce high-quality architecture documents, implementation plans, risk registers, security documentation, operational runbooks, support documentation, and governance artefacts
- Strong documentation discipline and attention to detail
- Commitment to knowledge transfer, handover, operational sustainability, and support readiness
- Proven experience delivering enterprise-scale cloud, AI, endpoint security, cyber risk management, and infrastructure transformation initiatives
Desired Qualifications
- Experience in AI security and DevSecOps practices
- Relevant certifications in Amazon Web Services, Microsoft Azure, Security, Cybersecurity, Risk Management, AI, or Enterprise Architecture
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