Kubernetes Architect

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August 20

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TensorWave

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Artificial Intelligence • Enterprise • SaaS

TensorWave is a cutting-edge AI compute company offering advanced solutions for enterprises focusing on training, fine-tuning, and inference. Powered by AMD's Instinct MI300X accelerators, TensorWave delivers a cost-effective and high-performance alternative to Nvidia's H100 chip. The company provides options for both bare-metal nodes and fully-managed Kubernetes clusters, ensuring ease of use with native support for PyTorch and TensorFlow. TensorWave is committed to data security with SOC2 Type II and HIPAA compliance, making it a reliable partner for businesses requiring dedicated and secure environments.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• 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