DevOps Automation Engineer

At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape. DevOps Automation Engineer: We are seeking a Senior DevOps Automation Engineer to help scale and maintain the core infrastructure supporting large-scale AI workloads and managed Kubernetes environments. This role requires deep Linux expertise, hands-on experience with virtualization platforms, and a strong grasp of automation tools and CI/CD strategy. While primarily operational, this role also requires the ability to discuss architecture, improve tooling and automation pipelines, and collaborate across teams. You’ll work with technologies such as Proxmox, MAAS, Terraform, Packer, Ansible, and custom tooling to automate bare-metal provisioning, VM lifecycle management, and infrastructure configuration. Responsibilities: • 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 Required Skills & Experience: • 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 Nice to Have • Experience managing infrastructure for AI/ML workloads • Familiarity with Kubernetes internals and cluster bootstrapping • Exposure to hardware management, PXE booting, and image customization What We Bring: In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Stock Options • 100% paid Medical, Dental, and Vision insurance • Life and Voluntary Supplemental Insurance • Short Term Disability Insurance • Flexible Spending Account • 401(k) • Flexible PTO • Paid Holidays • Parental Leave • Mental Health Benefits through Spring Health