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U.S., Infrastructure Engineer - Kubernetes, AI and GPU

U.S., Infrastructure Engineer - Kubernetes, AI and GPU

Zoic StudiosSanta Monica, CA, United States
15 hours ago
Job type
  • Full-time
Job description

The Role

As an Infrastructure Engineer at Zoic, you'll architect and manage the on-prem cloud infrastructure and GPU rendering platforms that power award-winning visual effects. This isn't typical DevOps—you'll build bare-metal Kubernetes clusters, optimize GPU workloads, rack servers, and collaborate with artists and engineers to support high-performance creative production and world-class visual storytelling.

What You'll Do

Build and manage virtualization and cloud orchestration platforms including OpenNebula and Kubernetes.

Deploy and manage containerized workloads across on-prem Kubernetes clusters.

Design and implement CI / CD pipelines.

Automate provisioning and configuration using Ansible, Terraform, and Packer.

Build and maintain deployment workflows for internal tools and creative pipelines.

Optimize Kubernetes for GPU workloads and high-performance rendering.

Set up and configure physical infrastructure : servers, storage arrays, and networking equipment.

Administer Linux and Windows environments across studio infrastructure.

Monitor system health and performance using Prometheus, Grafana, and ELK.

Maintain backup, restore, and disaster recovery processes.

Support infrastructure, engineering, and creative teams in production.

Document systems, processes, and runbooks.

Provide technical support and troubleshooting.

Implement secure data handling practices, including encryption and access controls.

Support compliance with MPAA, NIST, and ISO standards.

What You Bring

3+ years in infrastructure engineering or DevOps.

Strong Linux and Windows administration across multiple distributions.

Hands-on Kubernetes experience : cluster setup, configuration, management, and optimization.

Proficiency with infrastructure-as-code tools (Terraform, Ansible, Packer).

Familiarity with OpenNebula or other on-prem cloud platforms.

Experience with physical infrastructure setup (servers, storage, networking).

Experience with software-defined networking and Kubernetes networking stacks.

Proficiency in scripting (Python, Bash).

Understanding of CI / CD principles and pipeline design.

Comfortable in fast-paced, creative environments.

Bonus Skills

GPU orchestration and AI / ML pipelines.

Creative tools (Deadline, Nuke, Houdini, Maya).

Containerized GUI applications or remote apps.

VFX, gaming, architecture, or scientific computing background.

Open-source or technical community contributions.

What You'll Learn

Architecting and scaling cloud-native infrastructure without public cloud providers.

Advanced Kubernetes cluster management and GPU workload optimization.

AI / ML pipeline integration into creative production.

Secure data handling and compliance best practices in media production.

Cross-functional collaboration with creative, engineering, and security teams.

High-performance rendering workflows and VFX toolchains.

Additional Information

Pay Range : 130k-145k DOE.

The listed pay range represents the minimum to maximum range for this job description. Pay is dependent on several factors including, but not limited to experience, skills, and qualifications.

Zoic does not cover relocation costs.

Zoic Studios U.S. participates in the eVerify program.

This job description contains the basic requirements for the position and is NOT intended to be a complete list of responsibilities; other duties may be assigned.

Due to the volume of applications we receive across our different openings we regret that only those selected to interview will be contacted.

About Zoic Studios

Zoic Studios delivers award-winning visual effects for film, television, and interactive media. We're evolving our infrastructure to meet the demands of next-generation content creation—transitioning to a cloud-native architecture built entirely on-prem using OpenNebula and Kubernetes.

We're building scalable, automated systems that support massive rendering workloads, AI-enhanced pipelines, and real-time collaboration without public cloud providers. If you're a hands-on DevOps engineer who wants to shape the future of creative infrastructure, we want to hear from you.

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