Staff Infrastructure Engineer – Kubernetes Platform

TensorWave

Kubernetes Platform Staff Infrastructure Engineer responsible for design and operational reliability of Kubernetes control plane architecture for a leading AI cloud platform.

Posted 6/10/2026full-timeLas Vegas • Nevada • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

Distributed SystemsGrafanaKubernetesLinuxPrometheus

About the role

Key responsibilities & impact

Own the design, evolution, and operational reliability of our Kubernetes control plane architecture
Design and evolve Kubernetes control plane architecture across regions
Define and implement multi-tenant cluster models, including shared control planes, virtual cluster approaches (e.g., vcluster, Kamaji)
Drive transition from standalone clusters to regionally managed platform models
Define standards for isolation boundaries, resource segmentation, policy enforcement
Own the reliability and behavior of Kubernetes platforms in production
Participate in on-call rotation and lead incident response
Diagnose and resolve control plane instability, API server saturation, scheduling and resource contention issues
Ensure consistent lifecycle management across clusters - provisioning, upgrades, scaling
Design and implement strategies for regional scaling, multi-data center cluster deployments
Ensure consistent behavior and reliability across environments
Define cluster topology and failure domain strategies
Design ingress and egress architectures at cluster level and regional level
Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred)
Collaborate with network engineering on high-performance networking integration
Improve observability across control plane components, cluster health and performance
Define and implement resilience strategies aligned with platform goals
Lead root cause analysis for production incidents
Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)
Align Kubernetes platform design with underlying infrastructure capabilities

Requirements

What you’ll need

7+ years of experience in infrastructure, platform engineering, or distributed systems
Deep experience operating Kubernetes at scale in production environments
Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred
Proven experience scaling Kubernetes across:
- Multiple clusters
- Multiple regions or data centers
Strong understanding of Kubernetes internals:
- API server
- Scheduler
- Controller manager
- etcd
Experience designing or evolving:
- Control plane architectures
- Multi-tenant cluster models
Strong Linux systems expertise
Deep troubleshooting ability across:
- Kubernetes
- Container runtime
- Networking stack
Experience with CNI plugins (Cilium preferred)
Strong understanding of:
- Networking and traffic patterns
- Resource isolation and scheduling
Experience with virtual cluster technologies (vcluster, Kamaji, or similar) (preferred)
Experience supporting GPU workloads in Kubernetes (preferred)
Familiarity with:
- NUMA-aware scheduling (preferred)
- Topology-aware workloads (preferred)
- Awareness of RDMA and high-throughput networking environments (preferred)
Experience with observability platforms (Prometheus, Grafana, etc.) (preferred)

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Kubernetescontrol plane architecturemulti-tenant cluster modelsAPI serverschedulercontroller manageretcdLinux systemsCNI pluginsobservability

Soft Skills

troubleshootingincident responsecollaborationleadershiproot cause analysis