AI SecOps & Detection Lead — Discovery, Response & Prevention

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
Expert with Superna used in conjunction with 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
Monitor and optimize storage performance utilization and system availability
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
Strong experience with enterprise storage platforms such as Dell EMC Isilon/PowerScale Pure Storage HP Nimble/Alletra or similar technologies
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.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No