Overview
Skills
Job Details
Role: SPLUNK engineering consultant
Duration: 12 months
Location: San Jose, CA
Focus Areas: Search performance, platform optimization, integrations, governance maturity
Role Overview
We are seeking an experienced Splunk engineer to help stabilize, optimize, and improve our Splunk environment. This role will support search performance, data reliability, usability, and governance practices to ensure Splunk aligns to our security, compliance, and analytics requirements. The ideal candidate combines deep Splunk platform expertise with hands-on engineering experience in search optimization, pipeline reliability, knowledge object hygiene, and security-focused data workflows.
Key Responsibilities
Required Skills & Experience
- Strong hands-on experience with Splunk Enterprise / Enterprise Security administration and engineering.
- Expert level capability in SPL tuning, indexing strategy, search optimization, and performance troubleshooting.
- Proven experience with data pipeline reliability and ingestion stabilization.
- Familiarity with Splunk governance principles (knowledge object hygiene, schema evolution, retention/access practices).
- Proficiency in Python or scripting for automation and advanced handling.
Preferred Skills
- Experience with security detection engineering or detection-as-code frameworks.
- Background in ML/AI features within Splunk or adjacent systems.
- Understanding of compliance frameworks and their implications on Splunk governance.
Education and Experience
- 9–12 years of relevant experience preferred or equivalent demonstrated expertise.