At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.
About the Role:
We are seeking an exceptional Kubernetes Architect to lead the design, development, and deployment of our next-generation infrastructure platform. This is a very senior-level role for someone who not only understands Kubernetes deeply but can write complex manifests, operators, and controllers from scratch, and architect resilient, secure, and performant systems that scale to millions of users.
As a technical visionary and hands-on expert, you will lead the evolution of our cloud-native architecture, including designing serverless systems on Kubernetes, integrating with CI/CD, and ensuring observability, security, and cost-efficiency across environments.
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.
Lead Kubernetes cluster lifecycle management (provisioning, upgrades, scaling, monitoring, troubleshooting).
Collaborate closely with engineering teams to containerize applications, write Helm charts or Kustomize overlays, and standardize deployment practices.
Implement infrastructure as code using tools like Terraform, Pulumi, or Crossplane.
Lead efforts around observability, policy enforcement, cost optimization, and RBAC/security hardening within the cluster.
Evaluate and integrate Kubernetes ecosystem tools (e.g., Istio/Linkerd, ArgoCD, Flux, Prometheus, Grafana, OPA, etc.).
Mentor and upskill DevOps engineers and SREs in Kubernetes best practices.
Essential Skills & Qualifications:
8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles.
4+ 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 (preferably in Go).
Proven experience designing cloud-native systems that scale globally (multi-region, multi-cloud or hybrid setups).
Experience with serverless technologies (Knative, OpenFaaS, AWS Lambda, etc.) in a production environment.
Strong knowledge of cloud platforms such as AWS, GCP, or Azure.
Experience with GitOps tools (ArgoCD, Flux), service meshes, policy engines (OPA/Gatekeeper), and CI/CD pipelines.
Deep understanding of security, compliance, and resilience in containerized workloads.
Additional/Preferred Qualifications:
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 Success Looks Like:
A production-grade Kubernetes platform that can support millions of users globally, with self-healing, autoscaling, and strong observability.
Developer teams can deploy serverless applications with ease, speed, and reliability.
Infrastructure is resilient, secure, cost-optimized, and compliant.
Kubernetes practices and tooling are well-documented, standardized, and continuously improved across the company.
What We Bring:
Stock Options
100% paid Medical, Dental, and Vision insurance
Life and Voluntary Supplemental Insurance
Short Term Disability Insurance
Flexible Spending Account
401(k)
Flexible PTO
Paid Holidays
Parental Leave
Mental Health Benefits through Spring Health
