Senior AI OPS Engineer - 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.

Citizenship

United States Citizenship is 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.

Desired Qualifications

Enterprise Aggregation

Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.

Expert Certification

Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.

Cloud Observability

Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).

RMF/ATO Knowledge

Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.