Senior Staff Infrastructure Engineer – Kubernetes Platform

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’re looking for a Kubernetes Platform Staff Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you’ll be responsible for owning the design, evolution, and operational reliability of our Kubernetes control plane architecture , working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.

What You’ll Do

Platform Architecture & Strategy

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

Platform Ownership & Operations

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

Multi-Region 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

Networking & Data Plane Integration

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

Observability & Reliability

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

Cross-Team Collaboration

Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)

Align Kubernetes platform design with underlying infrastructure capabilities

Who You Are

Required Qualifications

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

Technical Depth

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

Preferred Qualifications

Experience with virtual cluster technologies (vcluster, Kamaji, or similar)

Experience supporting GPU workloads in Kubernetes

Familiarity with:

NUMA-aware scheduling

Topology-aware workloads

Awareness of RDMA and high-throughput networking environments

Experience with observability platforms (Prometheus, Grafana, etc.)

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 [email protected].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the 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.