
Linux Infrastructure Cloud Automation Specialist
3 days ago
Job Title: Linux Infrastructure Automation Engineer
About the Job
We are seeking a seasoned Senior Infrastructure Automation Engineer to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification pipeline for our on-prem GPU cloud infrastructure.
This role focuses on automating the full stack - from hardware provisioning through OS and Kubernetes deployment - leveraging 100% GitOps workflows.
The ideal candidate will bring deep expertise in Linux systems automation, image management, and compliance hardening, with a strong foundation in infrastructure engineering.
Key Responsibilities
- Architect and implement a fully automated, GitOps-based pipeline for building, upgrading, and certifying the Linux operating system layer in the GPU cloud stack (hardware → OS → Kubernetes → platform).
- 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.
Required Skills and Qualifications
- 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.
- 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 (e.g., Git-backed pipelines for image release and validation).
Additional Requirements
- Strong collaboration skills across teams including security, SRE, platform, and hardware engineering.
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