Fatigue Technology Jobs in Washington (NOW HIRING)

We are seeking a Senior AIOps Engineer to support mission-critical operations within a highly secure environment and drive the evolution of enterprise IT Service Management (ITSM) capabilities. This role is responsible for designing, deploying, and managing AIOps solutions that improve the reliability, performance, and security of enterprise networks and systems.

Serving as the technical lead for the AIOps initiative, the selected candidate will coordinate integrations across Network Engineering, ServiceNow, and SolarWinds teams. The role leverages Splunk and the Machine Learning Toolkit (MLTK) to deliver descriptive and predictive analytics while enabling closed-loop automated incident response to maintain the availability of mission-essential infrastructure.

• Lead the AIOps platform initiative by serving as the primary technical liaison across Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.
• Architect and implement closed-loop remediation workflows through deep integration of Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.
• Design, deploy, and maintain Splunk AIOps solutions across classified and unclassified environments to provide real-time operational visibility and situational awareness.
• Normalize and correlate network performance and fault telemetry from SolarWinds with server and application logs to deliver a comprehensive view of enterprise health.
• Develop and deploy machine learning models using Splunk MLTK to detect anomalous activity, identify potential cyber threats, and predict infrastructure degradation.
• Engineer secure telemetry ingestion pipelines supporting cross-domain solutions and tactical edge devices.
• Utilize Splunk ITSI to correlate multi-source events, reduce alert fatigue, and prioritize mission-impacting incidents.
• Collaborate with cybersecurity operations teams to integrate AIOps insights into defensive cyber operations and incident response activities.
• Ensure observability platforms comply with applicable STIGs and IL5/IL6 security requirements while maintaining detailed architectural and compliance documentation.
• Stay current with emerging AIOps technologies and capabilities relevant to federal, defense, and intelligence community mission systems.

• Active Top Secret / Sensitive Compartmented Information (TS/SCI) clearance required at time of hire.
• Active IAT Level II certification required (e.g., Security+ CE, CySA+, GSEC, or SSCP).
• U.S. Citizenship required.
• 7+ years of experience with Splunk Enterprise, including architecture, cluster management, and advanced Search Processing Language (SPL) development.
• 3+ years of experience implementing AIOps workflows and integrating enterprise ITSM platforms such as ServiceNow for automated remediation and root cause analysis.
• Demonstrated experience building, testing, and tuning supervised and unsupervised machine learning models using Splunk MLTK.
• Advanced scripting and automation skills, including development of custom search commands, API integrations, and automated remediation workflows using Python or similar languages.
• Experience leading technical working groups and coordinating efforts across infrastructure, operations, and development teams.
• Prior experience supporting mission-critical systems within DoD or federal operations environments, including NOC/SOC operations.
• Strong written and verbal communication skills with the ability to present technical solutions, architectures, and analyses to leadership and governance boards.
• Experience aggregating and correlating telemetry across enterprise platforms, including SolarWinds, ServiceNow, and VMware vCenter.

• Splunk Enterprise Certified Architect and/or Splunk ITSI Certified Administrator certification.
• Experience with CNCF observability tools within secure hybrid and multi-cloud environments, including Azure and AWS.
• Knowledge of the Risk Management Framework (RMF) and Authorization to Operate (ATO) processes for AI/ML-enabled solutions.