Platform Engineer: Splunk & On-Prem Observability

Devopsroles; Lake Buena Vista (FL); On-site; USD 93,000 - 125,000; Full time

Job summary

The Platform Engineer at Disney is a hands-on role responsible for owning the Splunk stack, from bare metal infrastructure to dashboards, supporting data pipelines and observability across critical systems.

You will collaborate with software engineering and operations to implement secure, scalable Splunk solutions and optimize performance for real-time operations in a large-scale environment.

Qualifications

• 3+ years of experience with Splunk administration and development.
• Experience owning a Splunk environment end-to-end.
• Hands-on experience with Splunk Enterprise architecture, data ingestion, parsing, and optimization.
• Dashboard and alert development.

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
• Build dashboards and alerts used by engineering and operations
• Develop data pipelines and ingestion strategies
• Integrate data from diverse sources (logs, sensors, applications, control systems)

Skills

Splunk administration

Splunk development

Splunk Enterprise architecture

Data ingestion & parsing

Dashboard & alerts

On-prem/bare-metal infra

Linux administration

Scripting (Python/Bash)

Real-time HA systems

Education

Bachelor's Degree in Computer Science or related field

Tools

Cribl

ELK

Prometheus

Job description

The Platform Engineer at Disney is a hands-on role responsible for owning the Splunk stack, from bare metal infrastructure to dashboards, supporting data pipelines and observability across critical systems.

You will collaborate with software engineering and operations to implement secure, scalable Splunk solutions and optimize performance for real-time operations in a large-scale environment.