Senior AI OPS Engineer - TS/SCI Clearance

Job Title

Clearance: Active TS/SCI Required

Qualifications:

Security Clearance: Active Top Secret / Sensitive Compartmented Information(TS/SCI) required at time of hire.
Certification: Active IAT Level II certification (e.g., Security+ CE, CySa+, GSEC, or SSCP) required.
Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

Clearance: Active TS/SCI Required

Qualifications:

Security Clearance: Active Top Secret / Sensitive Compartmented Information(TS/SCI) required at time of hire.
Certification: Active IAT Level II certification (e.g., Security+ CE, CySa+, GSEC, or SSCP) required.
Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

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