Linux Cloud Automation Expert

3 days ago

Vadodara, Gujarat, India beBeeEngineering Full time ₹ 98,75,000 - ₹ 1,55,25,000
Senior Linux Infrastructure Automation Engineer

The role entails leading the design and implementation of automated pipelines for on-prem GPU cloud infrastructure.

This involves automating the full stack, from hardware provisioning through OS and Kubernetes deployment, leveraging 100% GitOps workflows.

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 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, and 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.
  • 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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