What are the responsibilities and job description for the Cloud Architect (Cybersecurity & AI) position at Get A Whiz?
Job Overview:
We are seeking an experienced Cloud Architect with strong expertise in Cloud Security, DevSecOps, AI-driven Security Automation, and Enterprise Architecture. The ideal candidate will act as both a strategic advisor and a hands-on technical leader, helping modernize enterprise cybersecurity operations through automation, cloud-native architectures, and AI-powered security solutions.
This role requires deep experience in cloud platforms, vulnerability management, DevSecOps, enterprise security tooling, and mentoring engineering teams while implementing scalable security frameworks.
Key Responsibilities:
Design and implement secure cloud architectures across enterprise environments.
Serve as a trusted technical advisor to executive leadership on cloud security strategy and modernization initiatives.
Build AI-powered security automation solutions for vulnerability management and threat detection.
Develop automated remediation workflows and security orchestration processes.
Integrate security into CI/CD pipelines using DevSecOps best practices.
Design automated patch management and vulnerability remediation frameworks.
Build cloud-native deployment architectures using containers, infrastructure as code, and automation.
Develop centralized security dashboards by integrating data from multiple enterprise security platforms.
Mentor infrastructure and security teams through hands-on engineering and knowledge transfer.
Ensure security controls comply with enterprise governance, privacy, and regulatory requirements.
Create automation playbooks, technical documentation, and operational runbooks.
Required Skills:
12 years of IT experience with Enterprise Cloud Architecture.
Strong expertise in Cloud Security Architecture.
Hands-on experience implementing DevSecOps practices.
Experience with enterprise vulnerability management programs.
Strong knowledge of Infrastructure as Code (IaC).
Experience designing secure CI/CD pipelines.
Expertise with enterprise security monitoring and automation.
Experience integrating AI/Generative AI into cybersecurity operations.
Strong scripting or automation skills.
Experience mentoring technical teams and leading engineering initiatives.
Required Technologies:
Experience with most of the following:
Microsoft Azure
Google Cloud Platform (Google Cloud Platform)
Amazon Web Services (AWS)
Microsoft Azure Arc
GitHub & GitHub Advanced Security
Ansible Tower
Splunk
Tenable
Google SecOps
Google Threat Intelligence / VirusTotal
Mandiant
Gemini or other Enterprise AI platforms
Container technologies (Docker/Kubernetes)
CI/CD pipelines
Preferred Qualifications:
Experience in large-scale enterprise environments.
Background in highly regulated industries.
Experience implementing enterprise security governance.
Knowledge of AI-assisted security operations.
Strong communication and stakeholder management skills.