Senior AI OPS Engineer - TS/SCI Clearance
Fort Belvoir, VA
Full Time
Experienced
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.
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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