Kubernetes Platform Engineer

TensorWave • Las Vegas, NV

109d

About The Position

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. As a Kubernetes Platform Engineer focused on support and operations, you’ll play a critical role in maintaining the stability and reliability of our bare-metal Kubernetes infrastructure. You will work closely with senior engineers, taking point on troubleshooting, incident response, and day-to-day cluster operations across multi-tenant workloads. This is a great opportunity for engineers ready to deepen their Kubernetes expertise while supporting cutting-edge AI environments in real-time.

Requirements

• 2–4 years experience in DevOps, SRE, or Linux infrastructure roles
• 1+ years of hands-on experience with Kubernetes in production
• Familiarity with networking, CNI plugins, and core Linux troubleshooting
• Strong infrastructure-as-code mindset using tools like Helm, Terraform, or Ansible
• Solid experience with monitoring and logging tools (e.g., Prometheus, Grafana, Loki)
• Understanding of secure infrastructure design principles and least-privilege access
• Comfortable working in a team-oriented, fast-paced operational environment

Nice To Haves

• Experience with RKE2, Rancher, or similar platforms
• Experience troubleshooting or supporting AI or GPU-based workloads
• Familiarity with HAProxy, Cilium, or other Kubernetes ingress/networking tools

Responsibilities

• Own and troubleshoot operational issues within Kubernetes environments
• Maintain and monitor core services (e.g., Cilium, HAProxy, Prometheus, etc.)
• Ensure uptime, performance, and reliability of multi-tenant clusters
• Assist with Ingress/Egress connectivity and network debugging
• Support internal and customer teams in secure, isolated VPC environments
• Collaborate with senior engineers on automation and cluster lifecycle improvements

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees