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Senior Staff Infrastructure Engineer – Kubernetes Platform

TensorWave· Engineering
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RemoteFull-timePosted 5mo ago

About the role

Kubernetes Platform Staff Infrastructure Engineer responsible for owning the design, evolution, and operational reliability of TensorWave's Kubernetes control plane architecture across regions, with strong focus on multi-tenant models, regional scaling, networking, observability, and cross-team collaboration.

Responsibilities

  • 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
  • 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
  • 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
  • Design ingress and egress architectures at cluster level and regional level
  • Troubleshoot and optimize pod-to-pod networking, north-south traffic flows, CNI behavior (Cilium preferred)
  • Collaborate with network engineering on high-performance networking integration
  • Improve observability across control plane components, cluster health and performance
  • Define and implement resilience strategies aligned with platform goals
  • Lead root cause analysis for production incidents
  • Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)
  • Align Kubernetes platform design with underlying infrastructure capabilities

Qualifications

  • 7+ years of experience in infrastructure, platform engineering, or distributed systems
  • Deep experience operating Kubernetes at scale in production environments
  • Experience in CSP, hyperscale, or equivalent large-scale environments strongly preferred
  • Proven experience scaling Kubernetes across: Multiple clusters, Multiple regions or data centers
  • Strong understanding of Kubernetes internals: API server, Scheduler, Controller manager, etcd
  • Experience designing or evolving: Control plane architectures, Multi-tenant cluster models

Skills

Required:Kubernetes at scaleControl plane architectureMulti-tenant cluster modelsNetworking & CNIObservability & incident response

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
  • Parental Leave
  • Other In-Office Perks
Last updated Jul 30, 2026. Interested? Apply on the company site.
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Next-Gen AI Infrastructure

TensorWave: AI & HPC Cloud with AMD Instinct™

AI inferencemanaged inferenceLLM inferenceAI model deploymentlow-latency inferencescalable AIAI autoscalingGPU inference
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