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Senior Kubernetes Platform Engineer
Senior Kubernetes Platform EngineerTensorWave • Las Vegas, NV, US
Senior Kubernetes Platform Engineer

Senior Kubernetes Platform Engineer

TensorWave • Las Vegas, NV, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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.

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

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