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# Splunk Consultant

- **Company:** GlobalLogic
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $130,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Continuous Integration, Programming Tools, Python (Programming Language), Log Analysis, Performance Tuning, Shell Script, Systems Integration, TypeScript, Data Ingestion, Delivery Pipeline, Infrastructure Automation Frameworks, Information Technology, Cloudwatch, Restful APIs, Splunk
- **Published:** August 26, 2026
- **Apply:** https://www.dice.com/job-detail/b63ce338-7d5b-4525-9f7a-1d92c3a4db4e

## About the Role

* Minimum two years of experience administering Splunk in enterprise production environments.
 * Official Splunk certification such as Enterprise Certified Admin, Architect, or Core Certified Consultant (preferred)
 * Practical experience integrating Splunk with AWS cloud infrastructure and services.
 * Strong capabilities in Python or Shell scripting for system automation and REST API integration.
 * Deep technical expertise in observability, metrics, and log analytics.
 * Hands-on experience with data ingestion, source type management, and custom parsing configurations.
 * Solid knowledge of indexer cluster maintenance and search head configuration.

Nice to have skills:

 * Experience implementing Model Context Protocol (MCP) solutions.
 * Familiarity with AI developer tools such as Claude.
 * Development experience using TypeScript.
 * Exposure to Infrastructure as Code practices and continuous integration pipelines., Education: Bachelor''s or Master's degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

## Description

* Integrate Splunk with AWS cloud services including CloudWatch, S3, EC2, Kinesis and container logs.
 * Execute regular component updates and lifecycle management across Indexers, Search Heads and Forwarders.
 * Conduct routine platform health checks, indexer cluster maintenance and system performance tuning.
 * Onboard new data sources and manage custom parsing configurations
 * Automate routine maintenance, reporting and log parsing using Python or Shell scripts alongside Splunk REST APIs.
 * Support deployment pipelines to enable seamless infrastructure provisioning with minimal manual intervention.
 * Collaborate with stakeholders to optimize search query performance for both ad hoc and scheduled tasks.
 * Design intuitive dashboards and telemetry visualizations for operational engineering and business teams.


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