AI SecOps & Detection Lead - Discovery, Response & Prevention

Job Title: AI SecOps & Detection Lead - Discovery, Response & Prevention

Location: 100% Remote

Duration: 3 Months Contract

Experience level: 8 Years

Any visa works

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 Jenn does not have to be in every meeting; they will report back to her.