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Senior AI OPS Engineer - TS/SCI
Job Description
Required Qualifications
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Security Clearance:
Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire.
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Certification:
Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
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Citizenship:
United States Citizenship is required.
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Platform Experience:
7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
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AIOps & ITSM:
3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
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Machine Learning:
Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
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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.
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Operational Experience:
Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
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Communication:
Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. Desired Qualifications
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Enterprise Aggregation:
Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.
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Expert Certification:
Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
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Cloud Observability:
Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).
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RMF/ATO Knowledge:
Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.
