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 roleWe 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.ResponsibilitiesArchitect and implement end-to-end Kubernetes infrastructure for large-scale, cloud-native applicationsDesign and build serverless platforms on top of Kubernetes using technologies such as Knative, OpenFaaS, or KEDADevelop and maintain Kubernetes custom resources (CRDs), controllers, operators, and admission controllers in Go or PythonDefine multi-tenant, multi-region architecture supporting millions of users with high availability and low latencyLead Kubernetes cluster lifecycle management - provisioning, upgrades, scaling, monitoring, troubleshootingCollaborate closely with engineering teams to containerize applications, write Helm charts or Kustomize overlays, and standardize deployment practicesImplement infrastructure as code using tools like Terraform, Pulumi, or CrossplaneLead efforts around observability, policy enforcement, cost optimization, and RBAC/security hardening within the clusterEvaluate and integrate Kubernetes ecosystem tools - Istio/Linkerd, ArgoCD, Flux, Prometheus, Grafana, OPAMentor and upskill DevOps engineers and SREs in Kubernetes best practicesRequired Experience Bachelor of Science in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience8+ years of experience in cloud infrastructure, DevOps, or platform engineering roles8+ years of hands-on Kubernetes experience, including deep knowledge of the Kubernetes API, internals, networking, and storageProficiency in writing Kubernetes manifests, Helm charts, and custom Kubernetes controllers/operatorsProven experience designing cloud-native systems that scale globally - multi-region, multi-cloud or hybrid setupsExperience with serverless technologies in production - Knative, OpenFaaS, AWS LambdaStrong knowledge of cloud platforms such as AWS, GCP, or AzureExperience with GitOps tools - ArgoCD, FluxDeep understanding of security, compliance, and resilience in containerized workloadsPreferred ExperienceContributions to Kubernetes open-source projects or CNCF-related toolingExperience with service mesh design (Istio, Linkerd)Familiarity with eBPF, Cilium, or network-level observabilityBackground in building PaaS or developer platforms on top of KubernetesWhat We BringMission driven companyCompetitive SalaryStock Options100% paid Medical, Dental, and Vision insuranceFlexible PTOPaid Holidays401(k)Parental LeaveFlexible Spending AccountShort Term Disability InsuranceLife and Voluntary Supplemental InsuranceMental Health Benefits through Spring HealthWe’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.