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Splunk Developer
3 weeks ago
We are seeking an experienced machine learning engineer to design and implement AI-driven monitoring solutions using Splunk's Machine Learning Toolkit (MLTK).
Key Responsibilities:
- Design and develop predictive models for infrastructure metrics.
- Build custom ML use cases for log clustering, failure prediction, and capacity forecasting.
- Implement search optimization techniques for large-scale datasets.
- Develop unified dashboards for infrastructure, consolidating metrics, traces, and logs across hybrid cloud and on-prem systems.
Required Skills and Qualifications:
- 6-8 years of experience with Splunk development and proven ML use cases.
- Hands-on experience with Splunk Observability Cloud and Splunk App Development.
- Strong Python skills for ML and data analysis.
- Experience with DevOps practices, including CI/CD pipelines and automation tools.
- Familiarity with IT operations, SRE, and incident management.
Why This Role?
This is a unique opportunity to build AI-driven monitoring solutions and optimize performance across hybrid cloud, containers, and legacy systems.
