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 accomodations@tensorwave.com.
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.