Lead Splunk Platform Engineer - On-Prem & Observability

The Walt Disney Company

Town of Florida (NY)

On-site

USD 93,000 - 125,000

Full time

6 days ago

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Job summary

The Walt Disney Company in Orlando, FL is seeking a Platform Engineer to own and evolve our Splunk-powered data platform, ensuring reliable, scalable observability across operations and engineering teams.

You will design, deploy, and support end-to-end Splunk infrastructure, build dashboards and alerts, manage on-prem and hybrid environments, and partner with software leadership to drive data-driven decisions.

Qualifications

3+ years of experience with Splunk administration and development.
Experience owning a Splunk environment end-to-end.
Strong hands-on experience with Splunk Enterprise architecture (indexers, search heads, clustering).
Data ingestion, parsing, and optimization.
Dashboard and alert development.
Experience managing on-prem / bare-metal infrastructure.
Linux administration (preferred).
Server provisioning, performance tuning, and system monitoring.
Experience supporting real-time, high-availability systems.
Strong scripting skills (Python, Bash, or similar).

Responsibilities

Own and manage the full Splunk stack.
End-to-end responsibility from bare metal infrastructure → OS → Splunk architecture → dashboards and analytics.
Design, deploy, and maintain Splunk infrastructure.
Install, configure, and optimize Splunk components (indexers, search heads, forwarders, clustering).
Manage both on-premise/physical server environments and hybrid integrations.
Support real-time operational systems.
Enable monitoring and observability for high-availability, real-time engineering systems.
Build dashboards and alerts used by engineering and operations teams.
Develop data pipelines and ingestion strategies.
Integrate data from diverse sources (logs, sensors, applications, control systems).
Optimize parsing, indexing, and search performance.
Partner with software engineering leadership.
Work closely with Software Engineering Managers and system teams.
Translate operational requirements into scalable Splunk solutions.
Performance tuning and system reliability.
Identify bottlenecks across infrastructure and data pipelines.
Ensure high availability, redundancy, and system resilience.
Security, governance, and access control.
Implement role-based access and data governance best practices.
Maintain compliance with enterprise security standards.
Continuous improvement.
Recommend architecture improvements and modernization strategies.
Evaluate tools within the Splunk ecosystem (e.g., ITSI, ES, Cribl, etc.).