Splunk Engineer

Overview:

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.

Required Skills & Experience

• 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.