Staff Infrastructure Engineer

Responsibilities

• Design and evolve Kubernetes control plane architecture across multiple regions
• Define and implement multi-tenant cluster models, including shared control planes and virtual cluster approaches
• Own the reliability and operational behavior of Kubernetes platforms in production
• Diagnose and resolve control plane instability, API server saturation, and scheduling issues
• Design ingress/egress architectures and optimize pod-to-pod networking and CNI behavior
• Drive the transition from standalone clusters to regionally managed platform models
• Collaborate with DevOps and Infrastructure teams to align platform design with compute and networking capabilities

Requirements

• 7+ years of experience in infrastructure, platform engineering, or distributed systems
• Deep experience operating Kubernetes at scale in production environments
• Strong understanding of Kubernetes internals, including API server, etcd, and scheduler
• Expertise in Linux systems and the networking stack
• Experience with CNI plugins (Cilium preferred)
• Proven experience with multi-tenant cluster models and resource isolation

Preferred Qualifications

• Experience with virtual cluster technologies such as vcluster or Kamaji
• Experience supporting GPU workloads in Kubernetes
• Familiarity with NUMA-aware scheduling and topology-aware workloads
• Awareness of RDMA and high-throughput networking environments
• Experience with observability platforms like Prometheus and Grafana

Benefits

• Stock Options
• 100% paid Medical, Dental, and Vision insurance
• 401(k) and Flexible Spending Account
• Flexible PTO and Paid Holidays
• Parental Leave
• Company Health Savings Account contributions

About the Company

TensorWave delivers seamless, secure, reliable, and resilient AI compute at scale. We have built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack.