BC, DevOps Engineer – On-Prem Cloud Infrastructure
About Zoic Studios
Zoic Studios is a visual effects company where creativity meets engineering. We’ve delivered award-winning visuals for film, television, and interactive media and we’re now evolving our infrastructure to meet the demands of next-generation content creation.
We’re transitioning from traditional on-prem compute to a cloud-native architecture built entirely on-prem using platforms like OpenNebula and Kubernetes. This means building scalable, automated, and secure systems that support massive rendering workloads, AI-enhanced pipelines, and real-time collaboration all without relying on public cloud providers. If you’re a DevOps engineer who thrives in hands-on environments and wants to help shape the future of creative infrastructure, we want to hear from you.
As a DevOps Engineer at Zoic, you won’t just maintain systems, you’ll help invent them. We’re looking for a problem solver with a builder’s mindset, someone who thrives in complex environments and enjoys turning ambiguity into clarity. You’ll be instrumental in designing and evolving our on-prem cloud platform, working across infrastructure, automation, and deployment pipelines to ensure our systems are resilient, scalable, and optimized for high-performance creative workflows.
You’ll collaborate with cross-functional teams, tackle challenges that don’t have off-the-shelf solutions, and help shape the technical foundation that supports our artists and engineers. If you’re curious, resourceful, and excited by the idea of building infrastructure that powers world-class visual storytelling, this is your opportunity to make a lasting impact.
Key Responsibilities
• 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 for on-prem environments
• 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 tasks
• Set up and configure physical infrastructure including servers, storage arrays, and networking equipment
• Administer and support both Linux and Windows environments across studio infrastructure
• Monitor system health and performance using Prometheus, Grafana, and ELK
• Maintain secure backup, restore, and disaster recovery processes
• Work closely with infrastructure, engineering, and creative teams to support production needs
• Document systems, processes, and runbooks for internal use
• Provide technical support and troubleshooting for infrastructure-related issues
• Implement secure data handling practices, including encryption and access controls
• Support compliance with MPAA, NIST, and ISO standards
Required Qualifications
• 3+ years of experience in DevOps or infrastructure engineering
• Strong Linux and Windows administration skills across multiple distributions
• Strong hands-on experience with Kubernetes, including cluster setup, configuration, management, and optimization
• Strong Proficiency infrastructure-as-code tools (Terraform, Ansible, Packer)
• Familiarity with OpenNebula or other on-prem cloud platforms
• Experience with physical infrastructure setup and configuration (servers, storage, networking)
• Experience with software defined networking and common networking stacks around Kubernetes.
• Strong Proficiency in scripting languages (Python, Bash)
• Understanding of CI/CD principles and pipeline design
• Comfortable working in fast-paced, creative environments
Bonus Skills
• Experience with GPU orchestration and AI/ML pipelines
• Familiarity with creative tools (Deadline, Nuke, Houdini, Maya)
• Experience with containerized GUI applications or remote apps
• Background in VFX, gaming, architecture, or scientific computing
• Contributions to open-source or technical communities
What You’ll Learn
• How to architect and scale a fully cloud-native infrastructure without relying on public cloud providers
• Advanced Kubernetes cluster management and GPU workload optimization
• Integration of AI/ML pipelines into creative production environments
• Best practices for secure data handling and compliance in media production
• Cross-functional collaboration with creative, engineering, and security teams
• Exposure to high-performance rendering workflows and VFX toolchains
Additional information