Chief Cloud Automation Specialist

3 days ago

Kozhikode, Kerala, India beBeeLinuxInfrastructureEngineer Full time ₹ 35,00,000 - ₹ 45,00,000
Job Overview

We are seeking a skilled professional to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification pipeline for our GPU cloud infrastructure.

This role focuses on automating the full stack—from hardware provisioning through OS and Kubernetes deployment—leveraging 100% GitOps workflows.

Main 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.
  • Mentor junior engineers and contribute to strategic automation roadmap initiatives.
Key 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, 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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