Linux Infrastructure Automation Specialist

21 hours ago


Anand, Gujarat, India beBeeInfrastructure Full time ₹ 18,08,259 - ₹ 23,11,026
Job Description

Our organization is seeking a seasoned expert in Linux infrastructure automation to spearhead the design and implementation of a Zero-Touch Build, Upgrade, and Certification pipeline for our on-prem GPU cloud infrastructure.

This role involves architecting and implementing a fully automated pipeline for building, upgrading, and certifying the Linux operating system layer in the GPU cloud stack. The ideal candidate will bring deep expertise in Linux systems automation, image management, and compliance hardening.

Key Responsibilities:

  • 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 & Experience

The successful candidate will have:

  • 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).
  • 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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