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This role builds and operates the AI security lifecycle across the organization, structured around three core questions: do we have full visibility into AI in use across our environment, can we effectively react and respond when something goes wrong, and are we feeding what we learn back into preventative measures. The lead integrates AI-specific findings from tools like Wiz and AIM into existing SOC workflows so that AI-related events are detected and triaged alongside everything else, not sitting in a separate queue. This person stands up shadow AI discovery so the organization is not relying on self-reporting to know what is out there, and develops the AI-specific incident response playbooks and tabletop exercises that ensure the SOC is ready when an AI-related incident hits. On the prevention side, this role closes the loop, translating discovery findings and incident patterns into actionable remediation requests and tighter controls in partnership with teams across the organization. This person also supports the operational governance that keeps the program auditable, maintaining the AI tool inventory, risk assessments, and documentation trail in coordination with internal leadership. To perform all of these tasks the role will partner closely with the SOC, engineering, compliance, and security leadership
Required Skills
Strong multiprotocol understanding (SMB/NFS used simultaneously)
Multiprotocol permissions cleanup and best practices
Automation and scripting
Job Duties
Perform storage provisioning, migrations, upgrades, patching, and lifecycle management
Configure and maintain replication, snapshots, backup integration, and disaster recovery solutions
Collaborate with infrastructure, virtualization, and backup teams
Develop and maintain storage documentation and operational procedures
Troubleshoot complex storage, replication, connectivity, and performance issues
Recommend improvements for storage architecture and performance
Automate storage administration tasks using scripting or infrastructure automation tools
Job Requirements
Experience supporting NAS and SAN environments
Strong understanding of storage protocols including NFS, SMB/CIFS, Fibre Channel, and iSCSI
Experience with data protection, replication, snapshots, and disaster recovery technologies
Experience with VMware, Windows Server, and Linux operating systems
Strong analytical, troubleshooting, and performance tuning skills
Experience with scripting or automation tools such as PowerShell, Python, or Ansible
Excellent communication, documentation, and project coordination skills
Desired Skills & Experience
This role builds and operates the AI security lifecycle across the organization, structured around three core questions: do we have full visibility into AI in use across our environment, can we effectively react and respond when something goes wrong, and are we feeding what we learn back into preventative measures. The lead integrates AI-specific findings from tools like Wiz and AIM into existing SOC workflows so that AI-related events are detected and triaged alongside everything else, not sitting in a separate queue. This person stands up shadow AI discovery so the organization is not relying on self-reporting to know what is out there, and develops the AI-specific incident response playbooks and tabletop exercises that ensure the SOC is ready when an AI-related incident hits. On the prevention side, this role closes the loop, translating discovery findings and incident patterns into actionable remediation requests and tighter controls in partnership with teams across the organization. This person also supports the operational governance that keeps the program auditable, maintaining the AI tool inventory, risk assessments, and documentation trail in coordination with internal leadership. To perform all of these tasks the role will partner closely with the SOC, engineering, compliance, and security leadership
Required Skills
- Expert with Dell Isilon
Strong multiprotocol understanding (SMB/NFS used simultaneously)
Multiprotocol permissions cleanup and best practices
Automation and scripting
Job Duties
- Manage storage environments including NAS, SAN, and object storage platforms
Perform storage provisioning, migrations, upgrades, patching, and lifecycle management
Configure and maintain replication, snapshots, backup integration, and disaster recovery solutions
Collaborate with infrastructure, virtualization, and backup teams
Develop and maintain storage documentation and operational procedures
Troubleshoot complex storage, replication, connectivity, and performance issues
Recommend improvements for storage architecture and performance
Automate storage administration tasks using scripting or infrastructure automation tools
Job Requirements
- 7 years of enterprise storage engineering experience
Experience supporting NAS and SAN environments
Strong understanding of storage protocols including NFS, SMB/CIFS, Fibre Channel, and iSCSI
Experience with data protection, replication, snapshots, and disaster recovery technologies
Experience with VMware, Windows Server, and Linux operating systems
Strong analytical, troubleshooting, and performance tuning skills
Experience with scripting or automation tools such as PowerShell, Python, or Ansible
Excellent communication, documentation, and project coordination skills
Desired Skills & Experience
- Role will be loosely managed, looking for them to be "consultants" who have worked and have worked independently with little supervision, have been loosely managed
- doing professional services, working across Dev Teams, and x does not have to be in every meeting; they will report back to her.