Senior Staff Infrastructure Engineer – Kubernetes Platform
TensorWave
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...
Job description
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 regionsDefine 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 modelsDefine standards for isolation boundaries, resource segmentation, policy enforcement
Platform Ownership & Operations
Own the reliability and behavior of Kubernetes platforms in productionParticipate in on-call rotation and lead incident responseDiagnose and resolve control plane instability, API server saturation, scheduling and resource contention issuesEnsure consistent lifecycle management across clusters - provisioning, upgrades, scaling
Multi-Region Scaling
Design and implement strategies for regional scaling, multi-data center cluster deploymentsEnsure consistent behavior and reliability across environmentsDefine cluster topology and failure domain strategies
Networking & Data Plane Integration
Design ingress and egress architectures at cluster level and regional levelTroubleshoot 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 performanceDefine and implement resilience strategies aligned with platform goalsLead 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 systemsDeep experience operating Kubernetes at scale in production environmentsExperience in CSP, hyperscale, or equivalent large-scale environments strongly preferredProven experience scaling Kubernetes across:Multiple clustersMultiple regions or data centersStrong understanding of Kubernetes internals:API serverSchedulerController manageretcdExperience designing or evolving:Control plane architecturesMulti-tenant cluster models
Technical Depth
Strong Linux systems expertiseDeep troubleshooting ability across:KubernetesContainer runtimeNetworking stackExperience with CNI plugins (Cilium preferred)Strong understanding of:Networking and traffic patternsResource isolation and scheduling
Preferred Qualifications
Experience with virtual cluster technologies (vcluster, Kamaji, or similar)Experience supporting GPU workloads in KubernetesFamiliarity with:NUMA-aware schedulingTopology-aware workloadsAwareness of RDMA and high-throughput networking environmentsExperience with observability platforms (Prometheus, Grafana, etc.)
What we offer
Stock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther 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.