Establish engineering standards and best practices across index naming, Sourcetypes, CIM compliance, field extractions, knowledge objects, configuration management, change control, application lifecycle management, role-based access control
Architect scalable and resilient Splunk infrastructure supporting enterprise data volumes
Lead platform optimization including Search performance, Index performance, Storage management, Retention policies, License utilization, Data lifecycle management, Search concurrency, Data Model Acceleration
Guide upgrades, patching, backup, disaster recovery, and high availability planning
Lead troubleshooting of complex ingestion, parsing, indexing, search, and performance issues
Define enterprise data onboarding strategies across security, infrastructure, cloud, identity, endpoint, network, and application data sources
Oversee parsing, routing, index design, field extraction, source normalization, CIM implementation, retention policies, data quality
Lead integrations with firewalls, IDS/ IPS, EDR, NDR, Identity providers, Cloud platforms, Vulnerability management, Ticketing systems, SIEM and SOAR technologies, Threat Intelligence platforms
Guide development of Correlation Searches, Dashboards, Reports, Data Models, Detection Content, Enterprise Security Content
Improve detection fidelity while reducing false positives
Ensure Splunk capabilities support rapid investigation, evidence collection, event reconstruction, and executive reporting
Architect automation strategies using Splunk SOAR
Design and oversee playbooks for Incident enrichment, IOC validation, Threat intelligence lookups, Malware analysis, Case management, Automated containment, Notification workflows
Integrate SOAR with enterprise security technologies using Python, REST APIs, and supported applications
Establish automation governance and reusable orchestration standards
Review deployment packages and engineering deliverables prior to production release
Ensure engineering activities comply with change management, testing, documentation, rollback, and operational readiness requirements
Serve as the primary technical advisor for Splunk architecture and platform strategy
Communicate technical risks, roadmap priorities, and architectural recommendations to executive leadership and program stakeholders
Translate business and mission requirements into scalable technical solutions
Coordinate activities with infrastructure, cloud, networking, identity, cybersecurity, and vendor teams
Develop and maintain Architecture diagrams, Engineering standards, Technical designs, Runbooks, Standard Operating Procedures, Disaster Recovery documentation, Knowledge Base articles, Technical decision records
Evaluate emerging Splunk capabilities and recommend improvements to maximize platform value
Foster engineering excellence through mentorship, standards, and continuous process improvement
Requirements
Bachelor's degree in Computer Science, Information Technology, Cybersecurity, Engineering, or related field; equivalent professional experience may be substituted.
8+ years of enterprise Splunk administration and engineering experience
5+ years designing enterprise-scale distributed Splunk environments
Experience leading Splunk Enterprise Security implementations
Experience with Splunk Cloud and hybrid architectures