Location: Onsite - New Jersey (NJ), Tampa (FL), Tempe (AZ)
Experience Required: 8-10 Years
We are seeking an experienced Splunk Engineer with strong SIEM/SOAR expertise and hands-on knowledge in large-scale, hybrid-cloud environments. The ideal candidate will excel in Splunk development, automation, data engineering, and security operations, while supporting enterprise-level observability and analytics initiatives.
Develop, customize, and optimize Splunk dashboards, queries, alerts, and applications .
Support SIEM and SOAR ecosystems using tools such as Splunk, Elastic, Datadog, Cribl , etc.
Build and manage data ingestion pipelines for Data Lakes/Data Warehouses using platforms like AWS S3, Snowflake, Databricks .
Create trending analysis, operational metrics, and management-level reports.
Operate and troubleshoot Splunk solutions within large-scale, complex enterprise environments .
Work with hybrid-cloud infrastructures and cloud-native tools (AWS / Azure).
Apply security best practices aligned with MITRE ATT&CK, CIS frameworks , and modern cybersecurity principles.
Automate processes using scripting languages (Python, Ansible, PowerShell).
Perform advanced troubleshooting using networking fundamentals (TCP/IP) and Splunk search language.
Maintain documentation, data mappings, and operational runbooks for Splunk integrations.
8+ years of IT experience with strong Splunk development background.
5+ years hands-on experience with SIEM/SOAR platforms (Splunk, Elastic, Datadog, Cribl).
3+ years experience with Data Lakes/Data Warehouses (AWS S3, Snowflake, Databricks).
Strong scripting skills (Python, Ansible, PowerShell preferred).
Proficiency in Splunk Search Processing Language (SPL) and RegEx.
Experience working in hybrid-cloud environments .
Strong understanding of networking concepts (TCP/IP, routing, firewalls).
Knowledge of cybersecurity frameworks and best practices.
Experience generating dashboards, KPIs, and executive-level reports.
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