
Splunk Data Scientist
6 days ago
We are seeking an experienced Splunk Developer to join our team.
- Key Responsibilities:
- Data Science & AIOps
- Design and implement ML-based monitoring solutions using Splunk's ML Toolkit (MLTK).
- Build predictive and anomaly detection models for infrastructure metrics (CPU, memory, latency, etc.).
- Develop custom ML use cases—such as log clustering, failure prediction, and capacity forecasting.
- Optimize real-time analytics for large-scale datasets (millions of events/sec).
- Splunk Observability & Unified Dashboards
- Implement end-to-end observability using Splunk Observability Cloud (APM, RUM, Log Observer, Infrastructure Monitoring).
- Design unified dashboards that consolidate metrics, traces, and logs across hybrid cloud (AWS/Azure/GCP) and on-prem systems.
- Correlate ML insights with observability data to automate root cause analysis (RCA).
- Integrate with OpenTelemetry, Prometheus, and distributed tracing for full-stack visibility.
- Search Optimization & Scalability
- Reduce search overhead by optimizing SPL queries and data model acceleration.
- Implement summary indexing and data sampling for high-volume environments.
- Automation & Advanced Analytics
- Python scripting for custom ML pipelines, API integrations, and automation.
- Leverage Splunk's REST API for dynamic dashboarding and alerting.
- Splunk App Development & Integrations: Build custom apps and integrate Splunk with third-party tools (ITSM, CI/CD, Cloud platforms).
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