Senior Staff Infrastructure Engineer – Kubernetes Platform

The role

You will own the design, evolution, and operational reliability of the Kubernetes control plane architecture. You will work on multi-tenant cluster models, regional scaling, and networking integration.

What you will do

• Design and evolve Kubernetes control plane architecture across regions
• Define and implement multi-tenant cluster models
• Drive transition from standalone clusters to regionally managed platform models
• Define standards for isolation boundaries, resource segmentation, and 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
• Design and implement strategies for regional scaling and multi-data center cluster deployments
• Design ingress and egress architectures at cluster level and regional level

Required qualifications

• 7+ years of experience in infrastructure, platform engineering, or distributed systems
• Deep experience operating Kubernetes at scale in production environments
• Proven experience scaling Kubernetes across multiple clusters and multiple regions or data centers
• Strong understanding of Kubernetes internals: API server, Scheduler, Controller manager, etcd
• Experience designing or evolving control plane architectures and multi-tenant cluster models
• Strong Linux systems expertise
• Deep troubleshooting ability across Kubernetes, Container runtime, and Networking stack
• Strong understanding of networking and traffic patterns, resource isolation and scheduling

Nice to have

• Experience in CSP, hyperscale, or equivalent large-scale environments
• Experience with CNI plugins (Cilium preferred)
• 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.)

Benefits

• 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

Before you apply

• All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law
• Employment may be contingent upon the successful completion of a job-related background check

About the company

TensorWave delivers seamless, secure, reliable, and resilient AI compute at scale through a versatile cloud platform.