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Unisys is seeking a seasoned Splunk specialist to optimize search performance across 1,117 scheduled searches and tune data models, summaries, and CIM extractions. You will work with SOC, SRE, and app teams to drive content quality, dashboards, alerts, and detection rules for security and IT operations.
Responsibilities include data onboarding, ITSI KPI tuning, and CI/CD content lifecycle. Strong English, PK overlap with ACSC times, and Splunk certification are preferred.
Optimize search performance: SPL tuning, data models and summary indexing across the 1,117 scheduled searches. Tune Splunk and application settings for performance, scalability and reliability, in line with the RACI split with ACSC App/Dev. Remediate data-quality issues: parsing, sourcetype, index and volume problems. Monitor system health and search performance trends; report findings in the monthly service report. Tune ITSI KPIs and episodes during ACSC business hours. Work down the backlog in the agreed priority order, and report weekly burn-down during transition. Maintain knowledge articles and runbooks for search and content work. Attend the daily stand-up (09:15 PT) and the biweekly planning and retrospective sessions; represent Shift B at ACSC ceremonies. Receive and hand over work in progress during the 05:00-06:00 PT warm handover. Content Design and maintain dashboards, reports, alerts, correlation searches, and detection rules for security, IT operations, and application monitoring. Develop and maintain CIM-compliant data models, field extractions, lookups, event types, and tags. Package content into apps and manage it through version control and CI/CD (content lifecycle, testing, release). Map detections to frameworks such as MITRE ATT&CK, and reduce false positives through regular content tuning. Work with SOC, SRE, and application teams to gather requirements and turn them into actionable content. Performance Analyze and optimize SPL, including slow searches, expensive dashboards, and inefficient scheduled searches. Tune data model acceleration, summary indexing, report acceleration, and search scheduling to reduce load. Monitor platform performance with the Monitoring Console and internal logs (search concurrency, skipped searches, indexing latency, queue blocking, resource usage). Optimize ingestion through sourcetype and props/transforms tuning, event filtering, and index design. Establish search and content standards, review peer content, and educate users on efficient SPL. Report on content quality, search performance, and license/storage trends, and recommend capacity improvements.
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