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Splunk Expert Jobs (NOW HIRING)

Ignatiuz.com

Splunk Architect

San Jose, CA · On-site

Expert knowledge in Splunk Architecture; Expertise in Enterprise Security for Splunk highly desirable * 10 + years of experience in information system architecture methodologies, or an equivalent ...

3Core Systems, Inc

Splunk Engineer

Owings Mills, MD · On-site

$78K - $104K/yr

Expert knowledge of one or more infrastructure components including Cribl, Splunk Enterprise or Splunk Cloud * Expert knowledge of Agile/SCRUM utilizing JIRA/Confluence or equivalent * Expert ...

3Core Systems, Inc.

Splunk Engineer

Owings Mills, MD · On-site

Expert knowledge of oneor more infrastructure components including Cribl, Splunk Enterprise orSplunk Cloud * Expert knowledge ofAgile/SCRUM utilizing JIRA/Confluence or equivalent * Expert knowledge ...

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As of Sep 11, 2026, the average hourly pay for splunk expert in the United States is $60.17, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $66.35 per hour, depending on experience, location, and employer.

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SPLUNK engineering consultant

San Jose, CA • On-site

Machine Intelligence Technologies, LLC
See more jobs at Machine Intelligence Technologies, LLCexternal

Other

Posted 9 days ago

Key responsibilities

  • Support search performance, data reliability, usability, and governance practices to ensure Splunk environment aligns with security, compliance, and analytics requirements.

  • Improve search speed and efficiency, implement caching and tuning, and enhance workflows for analysts to pivot and reuse results.

  • Review and rationalize knowledge objects, implement monitoring for schema changes, and define governance and lifecycle controls for detection artifacts.

Job description

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 Search & Performance Optimization
  • Improve speed and efficiency of searches across large datasets.
  • Implement caching, tuning, and search-hygiene practices to reduce redundant or costly searches.
  • Enhance workflows so analysts can pivot and reuse results without re-running full searches.
Data Integration & Reliability
  • Strengthen stability and reliability of Splunk data pipelines for exports and integrations.
  • Support real-time or near-real-time data flows where applicable.
  • Improve resiliency of indexing, clustering, and correlation workloads.
Governance & Lifecycle Management
  • Review and rationalize existing knowledge objects (saved searches, lookups, dashboards).
  • Implement monitoring to track field drift, schema changes, or configuration defects that affect detections.
  • Define lightweight governance and lifecycle controls for knowledge objects and detection artifacts.
  • Support alignment with broader data governance policies, including access models, retention, and auditability.
Advanced Capabilities & Usability
  • Enable notebook-style investigative analysis for collaboration and reproducibility.
  • Assist data transformation and ML/AI-driven analytics enhancements where practical.
  • Provide guidance on detection-as-code best practices and CI/CD integration for security detection workloads.
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.

MACHINE INTELLIGENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE INTELLIGENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE INTELLIGENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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