Location: Jersey City, NJ
Experience Required: 10+ Years
We are seeking a highly experienced Senior Splunk Engineer with deep hands-on expertise in Splunk engineering, automation scripting, and operational support for large-scale enterprise environments. The ideal candidate will have strong proficiency in Python and Ansible, along with exposure to AWS-based deployments.
Design, implement, and manage large-scale Splunk Enterprise environments.
Develop, maintain, and optimize Splunk dashboards, queries, alerts, and reports .
Architect and configure Indexers, Search Heads, Forwarders and distributed Splunk clusters.
Create and maintain automation scripts using Python and Ansible to streamline operational workflows.
Troubleshoot Splunk performance issues, ingestion delays, indexing problems, and search inefficiencies.
Onboard new data sources, define data models, and create scalable ingestion strategies.
Ensure data availability, integrity, and security across all Splunk components.
Work closely with security, DevOps, and cloud teams to support monitoring and observability initiatives.
Implement Splunk upgrades, patching, capacity planning, and environment optimization.
Support cloud-based logging solutions; AWS CloudWatch, Kinesis, Lambda experience is a plus.
10+ years of hands-on experience working with Splunk engineering and administration .
Strong knowledge of Splunk architecture, deployment, scaling, and performance tuning.
Mandatory scripting experience in Python and Ansible for automation and configuration management.
Strong understanding of log management, observability tools, and SIEM concepts.
Ability to write complex SPL queries, optimize searches, and create high-value dashboards.
Experience integrating Splunk with cloud ecosystems; AWS experience is highly preferred .
Strong analytical, troubleshooting, and performance debugging skills.
Ability to work independently and collaborate with cross-functional teams.
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