Technology, Information and Internet👥 51-200 employees📍 Las Vegas , Nevada (US)Est. 2023
TensorWave is a cutting-edge cloud platform designed specifically for AI workloads. Offering AMD MI300X, MI325X, and MI355X accelerators, TensorWave is a top-choice for training, fine-tuning, and inf…
Job Overview
Our mission at Tensorwave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.
About the role
We are seeking a Principal Platform Engineer to lead the design, development, and deployment of our next-generation Kubernetes platform. In this role, you will define what production excellence looks like at scale: a global, self-healing, autoscaling Kubernetes platform with strong observability, security, and cost efficiency, capable of supporting millions of users. As a technical leader and hands-on architect, you will build and evolve cloud-native and serverless systems on Kubernetes, writing complex manifests, operators, and controllers from scratch. You will set standards and best practices across the company, ensuring platform tooling is well-documented, reliable, and continuously improved, while enabling developer teams to deploy applications with speed, confidence, and minimal friction.
Key Responsibilities
Architect and implement end-to-end Kubernetes infrastructure for large-scale, cloud-native applications
Design and build serverless platforms on top of Kubernetes using technologies such as Knative, OpenFaaS, or KEDA
Develop and maintain Kubernetes custom resources (CRDs), controllers, operators, and admission controllers in Go or Python
Define multi-tenant, multi-region architecture supporting millions of users with high availability and low latency
Mentor and upskill DevOps engineers and SREs in Kubernetes best practices
Required Qualifications
Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles
8+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storage
Proficiency in writing Kubernetes manifests, Helm charts, and custom Kubernetes controllers/operators
Proven experience designing cloud-native systems that scale globally - multi-region, multi-cloud or hybrid setups
Experience with serverless technologies in production - Knative, OpenFaaS, AWS Lambda
Strong knowledge of cloud platforms such as AWS, GCP, or Azure
Experience with GitOps tools - ArgoCD, Flux
Deep understanding of security, compliance, and resilience in containerized workloads
Preferred Experience
Contributions to Kubernetes open-source projects or CNCF-related tooling
Experience with service mesh design (Istio, Linkerd)
Familiarity with eBPF, Cilium, or network-level observability
Background in building PaaS or developer platforms on top of Kubernetes
What We Bring
Mission driven company Competitive Salary Stock Options 100% paid Medical, Dental, and Vision insurance Flexible PTO Paid Holidays 401(k) Parental Leave Flexible Spending Account Short Term Disability Insurance Life and Voluntary Supplemental Insurance Mental Health Benefits through Spring Health
We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.
Tensorwave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.
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