Staff Infrastructure Engineer - Kubernetes Platform
External
Tensorwave · Las Vegas, NVFull-timeOn-site1mo ago
CI/CDGrafanaIncident ResponseKubernetesLinuxMove
Prepare for this interview
EliteAI-generated questions, company research, and talking points tailored to this role
About the role
We're looking for a Kubernetes Platform Staff Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for owning the design, evolution, and operational reliability of our Kubernetes control plane architecture , working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
Responsibilities
- Platform Architecture & Strategy
- 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
- Platform Ownership & Operations
- 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
- Multi-Region 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
- Networking & Data Plane Integration
- 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
- Observability & Reliability
- 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
- Cross-Team Collaboration
- Work closely with DevOps engineers (automation and CI/CD) and Infrastructure teams (compute, storage, networking)
- Align Kubernetes platform design with underlying infrastructure capabilities
Requirements
- Required 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
- Technical Depth
- Strong Linux systems expertise
- Deep troubleshooting ability across:
- Kubernetes
- Container runtime
- Networking stack
- Experience with CNI plugins (Cilium preferred)
- Strong understanding of:
- Networking and traffic patterns
- Resource isolation and scheduling
- Experience with virtual cluster technologies (vcluster, Kamaji, or similar)
- Experience supporting GPU workloads in Kubernetes
- Familiarity with:
- NUMA-aware scheduling
- Topology-aware workloads
- Awareness of RDMA and high-throughput networking environments
- Experience with observability platforms (Prometheus, Grafana, etc.)
Benefits
Stock Options100% paid Medical, Dental, and Vision insurance for EmployeesCompany Health Savings Account Contributions100% paid Short Term and Long Term Disability Insurance for EmployeesLife and Voluntary Supplemental Insurance OptionsOther Insurance Options, such as Pet & Legal InsuranceVarious Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness SupportFlexible Spending Account401(k)Employee Assistance ProgramFlexible PTOPaid HolidaysParental LeaveOther In-Office PerksEqual Employment OpportunityTensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.Reasonable AccommodationsTensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.Employment EligibilityAll offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.Background ChecksWhere permitted by law,Health insuranceDental insuranceVision insurancePaid time offFlexible scheduleEquity / stock options
Additional Information
About TensorWave Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
Your Match
How well this role fits your profile.
Company Intel
What employees say
Worked at tensorwave? Share your experience