Leading Edge Cloud Infrastructure Automation Expert

2 days ago

Kota, Rajasthan, India beBeeAutomation Full time ₹ 30,00,000 - ₹ 35,00,000
Senior Linux Engineer - Automated Infrastructure

About this role:

Our company is a global leader in digital solutions and technology consulting. We are seeking an experienced Senior Linux Engineer to lead the design and implementation of automated infrastructure pipelines for our GPU cloud stack.

This role involves architecting and implementing fully automated, GitOps-based pipelines for building, upgrading, and certifying the Linux operating system layer in the GPU cloud stack. The successful candidate will bring deep expertise in Linux systems automation, image management, and compliance hardening, with a strong foundation in infrastructure engineering.

Key Responsibilities:

  • Design and implement automated 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.

Required Skills & Experience:

  • 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.

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