Senior AI Ops Engineer

Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. 

TDI is seeking a Senior AIOps Engineer to lead ITSM transformation efforts within a secure mission environment. As the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams. Utilize Splunk and Machine Learning Toolkit to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure.

This position requires fully onsite support to the Fort Belvoir, VA area and active TS/SCI level clearance.  

RESPONSIBILITIES:

• Lead AIOps platform integration efforts across Network Engineering, ServiceNow, and SolarWinds teams to establish unified observability and telemetry capabilities.
• Architect and maintain Splunk AIOps and ITSI solutions across classified and unclassified environments, delivering real-time situational awareness, event correlation, and automated incident remediation through ServiceNow integration.
• Develop and deploy advanced analytics and machine learning models using Splunk MLTK to detect anomalies, identify cyber threats, predict infrastructure issues, and reduce alert fatigue.
• Engineer secure telemetry ingestion and correlation pipelines from enterprise infrastructure, cross-domain solutions, and tactical edge systems to provide a comprehensive view of operational health.
• Support defensive cyber operations by integrating AIOps insights into security workflows, while ensuring compliance with DoD STIGs, IL5/IL6 requirements, and maintaining technical and architectural documentation.

QUALIFICATIONS:

• Active TS/SCI security clearance
• Candidates must possess DoD IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP)
• Bachelor's degree and 7+ years of Splunk Enterprise experience, including architecture, cluster administration, and advanced SPL development.
• 3+ years of experience implementing AIOps workflows and integrating Splunk with ServiceNow or other enterprise ITSM platforms.
• Experience building, tuning, and deploying machine learning models using Splunk MLTK.
• Strong scripting and automation skills, including Python, API integrations, custom search commands, and automated remediation solutions.
• Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.

PREFERRED QUALIFICATIONS:

• Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
• Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).

TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States.

“TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”