
Infrastructure Automation Specialist
17 hours ago
Job Title: Senior Infrastructure Automation Specialist
About the Role:
As a seasoned infrastructure automation specialist, you will be responsible for designing and implementing cutting-edge, zero-touch pipelines for building, upgrading, and certifying our on-prem GPU cloud infrastructure.
This role involves leveraging GitOps workflows to automate the full stack—from hardware provisioning through OS and Kubernetes deployment. The ideal candidate will bring deep expertise in Linux systems automation, image management, and compliance hardening.
Key Responsibilities:
• Architect and implement a fully automated pipeline for building, upgrading, and certifying the Linux operating system layer in the GPU cloud stack.
• Design and automate Linux image builds using Packer, Kickstart, and Ansible.
• Integrate CIS/STIG compliance hardening and OpenSCAP scanning directly into the image lifecycle and validation workflows.
• Own and manage kernel module/driver automation, ensuring version compatibility and hardware enablement for GPU nodes.
• Collaborate with platform, SRE, and security teams to standardize image build and deployment practices across the stack.
• Maintain GitOps-compliant infrastructure-as-code repositories, ensuring traceability and reproducibility of all automation logic.
• Build self-service capabilities and frameworks for zero-touch provisioning, image certification, and drift detection.
• Mentor junior engineers and contribute to strategic automation roadmap initiatives.
Requirements:
• 5+ years of hands-on experience in Linux infrastructure engineering, system automation, and OS lifecycle management.
• Primary key skills required are Ansible, Python, Packer, Kickstart, OpenSCAP.
• Deep expertise with Packer for automated image builds, Kickstart for unattended OS provisioning, OpenSCAP for security compliance and policy enforcement, and Ansible for configuration management and post-build customization.
• Strong understanding of CIS/STIG hardening standards and their application in automated pipelines.
• Experience with kernel and driver management, particularly in hardware-accelerated (GPU) environments.
• Proven ability to implement GitOps workflows for infrastructure automation.
• Solid knowledge of Linux internals, bootloaders, and provisioning mechanisms in bare-metal environments.
• Exposure to Kubernetes, particularly in the context of OS-level customization and compliance.
• Strong collaboration skills across teams including security, SRE, platform, and hardware engineering.
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