TensorWave
Senior Staff Infrastructure Engineer – Kubernetes Platform
Remote · Remote · Senior Staff · Full-time · Posted Jul 8, 2026
- Experience
- 7+ years in infrastructure, platform engineering, or distributed systems.
- Visa sponsorship
- Offers are contingent upon verification of identity and authorization to work in the United States, as required by law.
About the job
Owns the design, evolution, and operational reliability of TensorWave’s Kubernetes control plane and multi-region platform.
What you'll do
- Design Kubernetes control-plane architecture, multi-tenant cluster models, and regional scaling strategies.
- Operate production Kubernetes platforms, including on-call, incident response, lifecycle management, and root-cause analysis.
- Improve cluster networking, observability, resilience, and integration with compute, storage, and networking infrastructure.
What they ask for
- Deep experience operating Kubernetes at scale in production.
- Experience scaling Kubernetes across multiple clusters and multiple regions or data centers.
- Strong understanding of Kubernetes internals, including the API server, scheduler, controller manager, and etcd; experience designing control-plane architectures and multi-tenant cluster models.
- Strong Linux expertise and troubleshooting across Kubernetes, container runtime, and networking; experience with CNI plugins.
Nice to have
- Experience in CSP, hyperscale, or equivalent large-scale environments; Cilium is preferred.
- Experience with virtual clusters, GPU workloads, NUMA-aware or topology-aware scheduling, RDMA/high-throughput networking, or observability platforms.
Tools
Kubernetes, vcluster, Kamaji, Cilium, Prometheus, Grafana
AI focus
Supports the Kubernetes platform for AI compute at scale; no specific AI development work is stated.
Model-written summary · the original posting is authoritative