InfrastructureEngineer

We are seeking an experienced Senior Infrastructure Automation Specialist to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification pipeline for our GPU cloud infrastructure.

The ideal candidate will have deep expertise in Linux systems automation, image management, and compliance hardening, with a strong foundation in infrastructure engineering.

Key Responsibilities:

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• Architect and implement a fully automated, GitOps-based 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.">

Required Skills & Qualifications:

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• 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:">
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  • Packer for automated image builds">
  • Kickstart for unattended OS provisioning">
  • OpenSCAP for security compliance and policy enforcement">
  • Ansible for configuration management and post-build customization">
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• 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 (e.g., Git-backed pipelines for image release and validation).">
• 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.">