Posted on: 26/11/2025
Confidential Job Posting
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Role & Responsibilities :
- Design, implement and maintain Splunk ingestion pipelines : configure forwarders, HEC, indexers and deployment servers to ensure reliable, scalable data onboarding.
- Author and optimize advanced SPL searches, dashboards, reports and alerts to support monitoring, incident detection and business analytics.
- Develop data parsing, props.conf and transforms.conf rules and map data to the Common Information Model (CIM) for consistent analytics.
- Install, configure and operate Splunk components (search heads, indexers, clusters) and manage app/add-on lifecycle using automation.
- Integrate log and metric sources from cloud (AWS/Azure) and on-prem systems via syslog, REST/HEC and custom ingestion connectors.
- Troubleshoot performance, tune searches, manage retention/indexing strategy and support capacity planning and upgrades.
Skills & Qualifications :
Must-Have :
- Proven experience implementing and operating Splunk Enterprise in production environments.
- Advanced SPL query authoring and search optimization experience.
- Hands-on knowledge of data onboarding and parsing (props.conf, transforms.conf) and CIM mapping.
- Experience configuring Splunk components : forwarders, HEC, indexers, search heads and deployment server.
- Working knowledge of Linux and scripting for automation (Python or Bash).
- Experience integrating logs/metrics from cloud platforms (AWS/Azure) and common enterprise sources.
Preferred :
- Splunk certifications (e.g., Splunk Certified Power User, Splunk Certified Admin).
- Experience with Splunk Enterprise Security (ES) and security use-cases (detections, notable events).
- Familiarity with CI/CD and infrastructure-as-code for Splunk app deployments (Jenkins, Ansible, Terraform).
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Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1580563
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