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Role: Splunk Engineer
Location: Onsite - New Jersey (NJ), Tampa (FL), Tempe (AZ)
Experience Required: 8-10 Years
Job Description
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.
Key Responsibilities
Role: Splunk Engineer
Location: Onsite - New Jersey (NJ), Tampa (FL), Tempe (AZ)
Experience Required: 8-10 Years
Job Description
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.
Key Responsibilities
- 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.