TensorWave

DevOps Automation Engineer

TensorWave

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AnsibleCloudKubernetesLinuxPackerPrometheusPythonSpringTerraform

About the role

  • Automate bare-metal provisioning and VM lifecycle management using Proxmox, MAAS, and Ansible
  • Design and implement infrastructure-as-code solutions using Terraform and Packer
  • Build and maintain CI/CD pipelines and automation frameworks using GitHub Actions and similar tools
  • Support the lifecycle of Kubernetes clusters, including provisioning, upgrades, and integration with virtualization layers
  • Contribute to drift detection, image customization, and hardware configuration management
  • Write and maintain scripts and tooling in Bash, Functional Python, and YAML
  • Collaborate with other engineers to improve system observability using Prometheus and related tools
  • Participate in operational support, system debugging, and performance tuning
  • Discuss architecture and improve tooling and automation pipelines across teams

Requirements

  • 4+ years in DevOps, Infrastructure, or Systems Automation roles
  • Strong Linux experience, particularly with Ubuntu
  • Proficiency with Ansible, Terraform, Packer, and CI/CD tools like GitHub Actions
  • Experience with virtualization platforms, particularly Proxmox
  • Familiarity with bare-metal deployment tools such as MAAS or similar
  • Strong scripting skills in Bash, Python, and YAML
  • Working knowledge of Prometheus and infrastructure monitoring best practices
  • Comfortable discussing infrastructure architecture and CI/CD strategies
  • Experience managing infrastructure for AI/ML workloads (preferred)
  • Familiarity with Kubernetes internals and cluster bootstrapping (preferred)
  • Exposure to hardware management, PXE booting, and image customization (preferred)