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# Splunk Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $81,744.0 - $127,712.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Monitoring of Systems, Python (Programming Language), Role-Based Access Control, Runbook, Systems Integration, Scripting, Data Ingestion, Software Troubleshooting, Data Management, Splunk, New Relic (SaaS)
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=444a614f20c67194

## About the Role

We are looking for a Splunk Engineer with 5-8 years of experience to build and scale monitoring, alerting, and observability solutions. The role focuses on Splunk dashboarding, data onboarding, and alert optimization to improve incident response and operational visibility., * Strong experience with Splunk (Enterprise/Cloud)

 * Expertise in SPL query development and optimization
 * Experience with log ingestion pipelines and integrations
 * Understanding of monitoring, alerting, and incident management
 * Strong troubleshooting and analytical skills

Preferred:

 * Experience in SRE / NOC / Observability environments
 * Exposure to APM / metrics tools (Splunk Observability, New Relic, etc.)
 * Knowledge of Azure/AWS and basic scripting (Python/Shell)

## Description

Automation & Scripting
incident management
SPL Development
cloud platforms
data modeling
Python
Observability & Monitoring
Data Management, * Design and maintain Splunk dashboards (Classic & Dashboard Studio) for operations and business reporting

 * Develop and optimize SPL queries (rex, spath, stats, timechart, etc.) for performance and scalability
 * Manage data onboarding using Universal Forwarders, Heavy Forwarders, HEC, and syslog integrations
 * Own index strategy, retention policies, sourcetypes, field extractions, and CIM alignment
 * Configure and tune alerts with actionable thresholds, suppression, and routing
 * Build dynamic dashboards with drilldowns and filters for self-service troubleshooting
 * Support onboarding of new applications/brands and ensure consistent monitoring coverage
 * Collaborate with app, infra, and security teams to resolve ingestion and data issues
 * Implement RBAC and knowledge object permissions for access control
 * Create documentation, runbooks, and support users with training