DevOps Automation Engineer

Job Description

Job Description

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.

About the Role :

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

Essential Skills & Qualifications :

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

Additional / Preferred Qualifications :

Experience managing infrastructure for AI / ML workloads

Familiarity with Kubernetes internals and cluster bootstrapping

Exposure to hardware management, PXE booting, and image customization

We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at TensorWave. Join us as we redefine the possibilities of intelligent computing.

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