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# Principal Systems Engineer

- **Company:** The Walt Disney Company
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $158,100 - $211,900
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Systems Engineering, Continuous Integration, Linux, Electronic Design Automation, Github, Python (Programming Language), Automation of Marketing, Windows Servers, Windows PowerShell, Scrum Methodology, Ansible, Virtualization Technology, Private Cloud Environment, Multi-Cloud, Gitlab, Kubernetes, Rancher, Bare Metal, Api Design, Terraform, Docker, Jenkins
- **Published:** November 12, 2026
- **Apply:** https://dejobs.org/x/x/3FB18B87AE7D49AC86133B3B83869406/job/

## About the Role

* Deep experience engineering enterprise virtualization, private cloud, and bare-metal platforms at scale
 * Strong Kubernetes and Docker expertise, including integration with enterprise infrastructure
 * Hands-on IaC and automation (Terraform, Ansible) with CI/CD (GitLab, GitHub, Jenkins)
 * Expert Linux and Windows Server knowledge and familiarity with adjacent storage, networking, identity, and security services
 * A track record of leading complex migrations, evaluations, and platform transformations
 * Clear communication with engineers, vendors, and executives, * Broadcast, media, or streaming infrastructure experience
 * Rancher, GPU/VDI, or multi-cloud workload portability
 * Python, Go, or PowerShell tooling; self-service platform or service-catalog design
 * Agile, Scrum, or Kanban methodologies and continuous-improvement practices
 * AI-assisted engineering experience

Required Education:

 * Bachelor's Degree in a related field and/or 10+ years of relevant experience

## Description

You'll be the principal technical leader for the compute platforms behind these workflows: virtualization, private cloud, containers, bare metal, GPU, and desktop delivery. This is an individual contributor role with significant influence on architecture, vendors, and team standards.

 * Set the architecture: Define compute strategy across virtualization, private/hybrid/public cloud, Kubernetes, and bare metal, with platform-agnostic patterns that balance reliability, performance, security, and cost.
 * Automate everything: Establish IaC, API-first provisioning, and CI/CD as engineering standards, architecting reusable platform services and standardized workflows for infrastructure intake, validation, deployment, and lifecycle management.
 * Build production-aware tooling: Design automation that understands application dependencies, maintenance windows, health checks, and rollback needs.
 * Improve visibility: Architect infrastructure intelligence capabilities connecting inventory, dependencies, configuration, health, and lifecycle data to observability and automation platforms to improve operational decisions.
 * Evaluate what's next: Prototype emerging technologies and turn findings into reference architectures, roadmaps, and vendor guidance.
 * Raise the bar: Lead cross-domain architecture decisions spanning compute, storage, networking, identity, security, and data protection. Establish engineering standards, mentor engineers, and influence technical direction across teams.