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TensorWave · 4 months ago

Principal Kubernetes Platform Engineer

United States

Full-time

Remote

Lead/Staff

8+ years exp

Tensorwave is focused on building secure and resilient AI infrastructure at scale. They are seeking a Principal Platform Engineer to lead the design, development, and deployment of a next-generation Kubernetes platform, ensuring production excellence and supporting millions of users.

AI InfrastructureArtificial Intelligence (AI)Cloud ComputingCloud InfrastructureGenerative AIIaaS

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 - Istio/Linkerd, ArgoCD, Flux, Prometheus, Grafana, OPA

Mentor and upskill DevOps engineers and SREs in Kubernetes best practices

Qualification

KubernetesCloud-native systemsInfrastructure as codeServerless technologiesGitOps toolsCloud platformsSecurity complianceService mesh designNetwork observabilityMentoring