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Senior Kubernetes Platform Engineer

TensorWave

TensorWave

Software Engineering
Las Vegas, NV, USA
Posted on Sep 6, 2025

Location

Las Vegas, Nevada

Employment Type

Full time

Location Type

On-site

Department

Infrastructure

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.

Responsibilities:

  • Design and deploy bare-metal Kubernetes clusters at scale using RKE2

  • Collaborate with senior engineers on architectural improvements, infrastructure planning, and automation

  • Lead the design and implementation of Ingress and Egress traffic solutions, leveraging HAProxy, Cilium, and other components

  • Contribute to multi-tenant environment designs including VPC-level isolation, network policy enforcement, and secure shared services

  • Drive continuous improvement around observability using Prometheus and related tooling

  • Serve as a subject matter expert in core Linux, networking, and Kubernetes internals

  • Collaborate cross-functionally with AI platform teams and internal/external customers

Required Skills & Experience:

  • 5+ years of experience in infrastructure or DevOps engineering roles

  • 3+ years hands-on experience managing Kubernetes in bare-metal environments

  • Proven expertise in designing multi-tenant Kubernetes clusters with strong network isolation

  • Deep understanding of Linux systems internals, networking (IPTables, CNI plugins, BGP), and DNS

  • Experience with ingress controllers, load balancing, and service mesh (e.g., HAProxy, Cilium, Envoy)

  • Strong infrastructure-as-code mindset using tools like Helm, Terraform, or Ansible

  • Experience monitoring Kubernetes workloads with Prometheus and related observability tools

Nice to Have:

  • Familiarity with RKE2, Rancher, or other downstream Kubernetes distributions

  • Exposure to AI/ML infrastructure workloads or GPU resource scheduling

  • Experience in infrastructure compliance or secure multi-tenancy (e.g., PCI, SOC2)

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