SPLUNK engineering consultant

Cloud Analytics Technologies, LLC; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

CLOUD ANALYTICS TECHNOLOGIES is seeking an experienced Splunk engineer to stabilize, optimize, and improve our Splunk environment, focusing on search performance, data reliability, governance, and security-driven analytics.

The role requires hands-on SPL tuning, indexing strategy, data pipeline reliability, and governance hygiene, with opportunities to enable notebook-style analysis and CI/CD integration for detection workloads.

Qualifications

• Hands-on Splunk Enterprise Admin/ES with tuning and performance optimization.
• Expert SPL tuning, indexing strategy, and performance troubleshooting.
• Experience with data pipeline reliability and ingestion stabilization.
• Proficiency in Python or scripting for automation.
• Familiarity with governance: knowledge object hygiene, retention policies, and auditability.

Responsibilities

• Improve speed and efficiency of searches across large datasets.
• Strengthen stability and reliability of Splunk data pipelines for exports and integrations.
• Review and rationalize existing knowledge objects (saved searches, lookups, dashboards).
• Define lightweight governance and lifecycle controls for knowledge objects and detection artifacts.
• Enable notebook-style investigative analysis and AI-driven analytics enhancements; guide CI/CD for security detections.

Skills

Splunk Enterprise

Splunk Enterprise Security

SPL tuning

Indexing strategy

Performance troubleshooting

Python scripting

Data governance

CI/CD for security detections

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.

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES 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. CLOUD ANALYTICS TECHNOLOGIES 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 CLOUD ANALYTICS TECHNOLOGIES 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

Equal Opportunity Employer

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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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