Infrastructure Engineer - Virtualization

TensorWave; Las Vegas (NM); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Stock Options

100% paid Medical, Dental, and Vision insurance

Flexible PTO

Parental Leave

401(k)

Job summary

TensorWave, based in Las Vegas, New Mexico, is seeking a Virtualization Operations Engineer. This hands-on role focuses on the day-to-day operation and performance of virtualization platforms as part of our large-scale infrastructure to support AI workloads.

The ideal candidate will have 4-7+ years of experience with Linux-based virtualization, troubleshooting, and infrastructure operations. We offer extensive benefits including paid healthcare, stock options, and flexible PTO.

Qualifications

• Hands-on experience operating Linux-based virtualization platforms.
• Strong Linux systems knowledge, including process management.
• Experience with infrastructure automation tools like Ansible.

Responsibilities

• Operate and maintain large-scale virtualization environments.
• Manage full lifecycle of virtual machines including provisioning and migration.
• Troubleshoot and resolve issues across hypervisors and operating systems.

Skills

Linux-based virtualization platforms

Infrastructure operations

Troubleshooting performance issues

Automation tools

Education

4–7+ years in infrastructure or systems operations

Tools

Ansible

Proxmox

KVM/QEMU

Job description

About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

We are building and operating large-scale infrastructure platforms to support high-performance AI workloads across multiple data centers. Our environment includes GPU-intensive systems, high-throughput networking, and rapidly scaling compute clusters.

We are looking for a Virtualization Operations Engineer to focus on the day-to-day operation, stability, and performance of our virtualization platforms. This role is responsible for ensuring that our hypervisor environments are reliable, performant, and scalable as we continue to grow.

This is a hands‑on operations role working across hypervisors, virtual machines, and underlying infrastructure systems.

What You’ll Do

• Operate and maintain large-scale virtualization environments (Proxmox and/or KVM-based systems)
• Manage the full lifecycle of virtual machines: provisioning, configuration, migration, decommissioning
• Monitor and respond to platform health issues, including host failures, VM performance degradation, resource contention (CPU, memory, disk, network)
• Troubleshoot and resolve issues across hypervisors, guest operating systems, storage and networking layers
• Execute infrastructure changes safely, including cluster expansions, host maintenance and upgrades, configuration updates
• Work with automation tools to standardize deployments, reduce manual intervention, improve operational consistency
• Collaborate with DevOps (automation and platform tooling), Network Engineering (connectivity and performance), Storage Engineering (I/O performance and reliability)
• Participate in incident response and root cause analysis
• Contribute to runbooks, documentation, and operational best practices

Who You Are

Required Qualifications

• 4–7+ years of experience in infrastructure, systems, or platform operations
• Hands‑on experience operating Linux‑based virtualization platforms, such as KVM/QEMU, Proxmox, VMware (with strong Linux fundamentals)
• Strong Linux systems knowledge, including process management, networking, disk and filesystem management
• Experience troubleshooting CPU and memory contention, disk I/O bottlenecks, network performance issues
• Familiarity with virtualization concepts: VM lifecycle, resource allocation, live migration
• Experience with infrastructure automation tools (e.g., Ansible or similar)
• Ability to work effectively during incidents and production issues

Preferred Qualifications

• Experience operating infrastructure at scale (100+ hosts)
• Familiarity with GPU‑based systems or high‑performance workloads, NUMA awareness and performance tuning
• Exposure to high‑throughput networking (bonding, VLANs, SR‑IOV), distributed or high‑performance storage systems
• Experience working alongside Kubernetes or container platforms
• Experience in cloud or CSP environments

What We Offer

• Stock Options

• 100% paid Medical, Dental, and Vision insurance for Employees

• Company Health Savings Account Contributions

• 100% paid Short Term and Long Term Disability Insurance for Employees

• Life and Voluntary Supplemental Insurance Options

• Other Insurance Options, such as Pet & Legal Insurance

• Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support

• Flexible Spending Account

• 401(k)

• Employee Assistance Program

• Flexible PTO

• Paid Holidays

• Parental Leave

• Other In-Office Perks

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [e-mail].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job‑related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment‑related purposes in accordance with applicable data privacy laws.