Senior Infrastructure Automation Professional

23 hours ago

Vadodara, Gujarat, India beBeeInfrastructure Full time ₹ 22,50,000 - ₹ 27,90,000
Job Title

We are seeking a seasoned Infrastructure Automation Professional to lead the development of a cutting-edge Zero-Touch Build, Upgrade, and Certification framework for our on-prem GPU cloud environment.

This role demands deep technical expertise across bare-metal provisioning, configuration management, and full-stack automation from hardware to Kubernetes built entirely on GitOps principles.

Key Responsibilities
  • Architect and implement a fully automated deployment pipeline for GPU cloud infrastructure spanning hardware → OS → Kubernetes → platform layers.
  • Build robust workflows to manage end-to-end infrastructure lifecycle from provisioning to continuous compliance.
  • Design and maintain automation for bare-metal control, firmware flashing, hardware inventory management, and configuration drift detection and remediation.
  • Develop and extend internal automation frameworks using Ansible, Python, and related infrastructure tooling.
Required Skills and Qualifications
  • 10+ years of hands-on experience in infrastructure engineering, automation, and systems design with a strong track record of delivering scalable and maintainable solutions.
  • Deep expertise in Ansible, Python, ipmitool, firmware scripting, Linux shell scripting, and Linux systems networking, and Kubernetes infrastructure.
  • Proven experience with bare-metal automation in data center environments including power control, PXE booting, BIOS/NIC/RAID firmware upgrades, and hardware and platform inventory systems.
Benefits

As a senior engineer, you will have the opportunity to work on cutting-edge technology, collaborate with cross-functional teams, and develop your skills in automation and infrastructure engineering.

Others

Familiarity with Terraform, Chef, and Cloud Automation Platforms is a plus. Bonus: Prior leadership or mentorship roles, experience contributing to or maintaining open-source infrastructure projects, and exposure to GPU-based compute stacks and high-performance workloads are highly desirable.

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