Senior Staff Infrastructure Engineer – Kubernetes Platform
TensorWave · Remote · Remote ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Senior Staff level
- Fully remote (US)
- Kubernetes at scale
- Cilium networking
- Multi-region architecture
Join TensorWave as a Senior Staff Infrastructure Engineer to own the design and evolution of the Kubernetes control plane. You will drive the transition to regionally managed platform models, ensuring seamless and secure AI compute at scale.
The team works on eliminating infrastructure barriers by building robust multi-tenant cluster architectures. You will collaborate with cross-functional partners to uphold standards for excellence and operational reliability in production environments.
What you'll do
- Design and evolve Kubernetes control plane architecture across multiple regions
- Implement multi-tenant cluster models using shared control planes or virtual clusters
- Own platform reliability, participate in on-call rotation, and lead incident response
- Diagnose control plane instability, API server saturation, and resource contention
- Design ingress and egress architectures at cluster and regional levels
- Troubleshoot and optimize pod-to-pod networking and CNI behavior
- Define cluster topology and failure domain strategies for multi-data center deployments
- Collaborate with DevOps and Infrastructure teams on automation and underlying capabilities
What you'll need
- 7+ years of experience in infrastructure, platform engineering, or distributed systems
- Deep experience operating Kubernetes at scale in production environments
- Proven track record scaling Kubernetes across multiple clusters and regions
- Strong understanding of Kubernetes internals including API server, scheduler, and etcd
- Experience designing control plane architectures and multi-tenant cluster models
- Strong Linux systems expertise and deep troubleshooting abilities
- Experience with CNI plugins, preferably Cilium
- Solid understanding of networking traffic patterns and resource isolation
Nice to have
- Experience with virtual cluster technologies like vcluster or Kamaji
- Background supporting GPU workloads in Kubernetes environments
- Familiarity with NUMA-aware scheduling and topology-aware workloads
- Awareness of RDMA and high-throughput networking environments
- Experience with observability platforms such as Prometheus and Grafana
- Experience in CSP, hyperscale, or equivalent large-scale environments
Stack
- Kubernetes
- Cilium
- Linux
- Prometheus
- Grafana
- vcluster
- Kamaji
How you'll work
- Fully remote position
- Must be authorized to work in the United States
- Participates in on-call rotation for incident response
What you get
- Stock options
- 100% paid medical, dental, and vision insurance
- Company Health Savings Account contributions
- 100% paid short term and long term disability insurance
- Life and voluntary supplemental insurance options
- 401(k) plan
- Flexible PTO and paid holidays
- Parental leave
- Employee Assistance Program