Tech Stack
AWSAzureCloudCyber SecurityGoogle Cloud PlatformJavaScriptLinuxPythonSplunkSQLUnix
About the role
- Drive visibility, automation, and security intelligence across one of the largest federal data environments
- Design and engineer national-scale Splunk infrastructure for mission-critical operations
- Architect and maintain enterprise-grade Splunk environments across on-prem and cloud platforms
- Create and manage knowledge objects, complex SPL queries, alerts, and dynamic dashboards
- Design and implement scalable data ingestion pipelines and parsing logic
- Collaborate with DevOps, Security, and Infrastructure teams to ensure optimal system performance
- Develop automation workflows and UI interfaces to enhance operational efficiency
- Troubleshoot data latency, availability, and integration challenges
- Support system maintenance, version upgrades, and environment hardening
- Contribute to technical mentorship and process documentation
Requirements
- 5+ Years of Splunk Experience Required
- Manages knowledge objects (fields, extractions, tags, event types, lookups, workflow actions, aliases, macros, etc.) including .conf and .cfg files across recent Splunk Enterprise versions
- Experience with Splunk deployment and configuration management in large-scale environments
- Proficiency in complex SPL queries, dashboards, and alerts
- Experience with REST APIs for Splunk and external system integration
- Ability to analyze and troubleshoot complex data ingestion and parsing issues
- Designing and developing automations workflows and dashboard interfaces
- Self-starter with a service-oriented, consulting mindset
- Strong problem-solving and communication skills; ability to convey complex technical concepts to non-technical audiences
- Experience mentoring junior team members
- Preferred: leverage Splunk AI Assistant and other AI tools
- Preferred: Advanced Unix/Linux and/or Windows administration
- Preferred: Strong scripting (Bash, Python, JavaScript, SQL, PowerShell)
- Preferred: Experience with Splunk upgrades, patching, and performance tuning
- Preferred: Cloud integration experience (AWS, GCP, Azure)
- Preferred: Understanding security/compliance (RBAC, logging standards, NIST, FISMA, FedRAMP)
- Preferred: Experience with Splunk App for Data Science & Deep Learning and Splunk SOAR
- Preferred: Background in Cybersecurity, Systems/Network Administration, or Observability