TensorWave
Engineering
StaffInfrastructureEngineer–KubernetesPlatform
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“Staff Infrastructure Engineer – Kubernetes Platform at TensorWave. Skills: Kubernetes control plane architecture, Multi-tenant cluster models, Platform reliability, Scalability. Owning the design, evolution, and operational reliability of our Kubernetes control plane architecture. Designing and evolving Kubernetes control plane architecture across regions”
What You'll Achieve.
Deliver seamless, secure, reliable, and resilient AI compute at scale; Eliminate infrastructure barriers; Uphold standards for excellence, collaboration, and impact
Industry & Context.
Deep troubleshooting ability
Participate in on-call rotation, Verification of identity and authorization to work in the United States, Background check may be required
What They're Looking For.
Must Have
7+ years of experience in infrastructure, platform engineering, or distributed systems, Deep experience operating Kubernetes at scale in production environments, Linux systems expertise, Deep troubleshooting ability across: Kubernetes, Container runtime, Networking stack, Experience designing or evolving: Control plane architectures, Multi-tenant cluster models
Nice to Have
Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred, Proven experience scaling Kubernetes across: Multiple clusters, Multiple regions or data centers, Experience with virtual cluster technologies (vcluster, Kamaji, or similar), Experience supporting GPU workloads in Kubernetes, Familiarity with NUMA-aware scheduling, Familiarity with Topology-aware workloads, Awareness of RDMA and high-throughput networking environments, Experience with observability platforms (Prometheus, Grafana, etc.)
What You'll Do.
and operational reliability of our Kubernetes control plane architecture
Designing and evolving Kubernetes control plane architecture across regions
Defining and implementing multi-tenant cluster models
Driving transition from standalone clusters to regionally managed platform models
Defining standards for isolation boundaries
resource segmentation
Owning the reliability and behavior of Kubernetes platforms in production
Participating in on-call rotation
Leading incident response
Diagnosing and resolving control plane instability
API server saturation
scheduling and resource contention issues
Ensuring consistent lifecycle management across clusters (provisioning
Designing and implementing strategies for regional scaling
multi-data center cluster deployments
Ensuring consistent behavior and reliability across environments
Defining cluster topology and failure domain strategies
Designing ingress and egress architectures at cluster level and regional level
Troubleshooting and optimizing pod-to-pod networking
north-south traffic flows
Improving observability across control plane components
cluster health and performance
Defining and implementing resilience strategies aligned with platform goals
Leading root cause analysis for production incidents
How You'll Work.
Team & Collaboration
Working closely with cross-functional partners to support business objectives; Working closely with DevOps engineers (automation and CI/CD); Working closely with Infrastructure teams (compute, storage, networking); Aligning Kubernetes platform design with underlying infrastructure capabilities; Collaborating with network engineering on high-performance networking integration
Full Job Description
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 traff
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