Cloud Infrastructure Automation Specialist

12 hours ago

Shimoga, Karnataka, India beBeeInfrastructure Full time US$ 34,23,000 - US$ 49,34,000

Job Title:

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Senior Cloud Infrastructure Automation Engineer

We are seeking a Senior Cloud Infrastructure Automation Engineer to lead the design and implementation of automated infrastructure pipelines.

The ideal candidate will bring deep expertise in Linux systems automation, image management, and compliance hardening, with a strong foundation in cloud engineering.

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Key Responsibilities:

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• Design and implement automated pipeline for building, upgrading, and certifying Linux operating system layer in cloud infrastructure (hardware → OS → Kubernetes).

• Automate Linux image builds using Packer, Kickstart, and Ansible.

• Integrate CIS/STIG compliance hardening and OpenSCAP scanning directly into 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:

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• 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:

o Packer for automated image builds

o Kickstart for unattended OS provisioning

o OpenSCAP for security compliance and policy enforcement

o 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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