Senior Kubernetes EngineerWe are looking for a Senior Kubernetes Engineer to design deploy and operate productiongrade Kubernetes platforms across clientowned infrastructure including bare metal private cloud and sovereign environmentsThe role focuses on building reliable and secure Kubernetes reference deployments that client operations teams can install operate maintain and scale including highly restricted and airgapped environmentsKey ResponsibilitiesDesign and operate production Kubernetes clusters on bare metal private cloud and onpremises infrastructureOwn the Kubernetes platform architecture from cluster design through deployment and ongoing operationsDefine reference Kubernetes deployments that can be installed and operated by client infrastructure teamsDesign and manage CNI networking CSI integrations persistent storage ingress and load balancingManage etcd operations including backup recovery health monitoring and disaster recovery proceduresBuild and maintain deployment workflows using Helm and GitOps tools such as ArgoCD or FluxUse Terraform to automate infrastructure and Kubernetes platform provisioning where appropriateDesign and implement airgapped and restrictednetwork Kubernetes deploymentsManage container image mirroring private registries and offline installation processesDeploy and operate stateful workloads on Kubernetes including Kafka Flink Spark databases and their operatorsDesign Kubernetes platforms capable of supporting high availability and businesscritical workloadsImplement security hardening for regulated and securitysensitive environmentsDefine and enforce RBAC network policies secrets management and cluster security policiesPlan cluster capacity node resources scaling strategies and workload placementDesign and execute disaster recovery and business continuity approaches for Kubernetes environmentsPlan and perform Kubernetes upgrades with minimal or zero downtimeSupport GPU scheduling and node management for AI and dataintensive workloadsWork with client infrastructure and operations teams during deployment handover and operational readinessParticipate in security reviews and technical architecture discussions within client environmentsTroubleshoot complex networking storage scheduling and clusterlevel issues in productionEstablish operational standards runbooks monitoring requirements and troubleshooting procedures for Kubernetes platformsRequirementsRequirementsProven experience as a Senior Kubernetes Engineer Platform Engineer DevOps Engineer or similar roleStrong handson experience building and operating production Kubernetes clusters on bare metal or private cloudExperience with clientowned onpremises or sovereign infrastructure environmentsStrong understanding of Kubernetes architecture and the components that managed Kubernetes services typically abstract awayDeep knowledge of Kubernetes networking and CNI behaviorStrong experience with CSI persistent storage and stateful workloads on KubernetesStrong understanding of ingress controllers service networking and load balancing without relying on a public cloud providerHandson experience with etcd operations including backup recovery troubleshooting and cluster healthExperience with Helm and Kubernetes package managementHandson experience with ArgoCD Flux or similar GitOps toolingStrong Terraform experience for infrastructure and platform provisioningProven experience deploying Kubernetes in airgapped or highly restricted network environmentsExperience with private container registries image mirroring and offline installation workflowsExperience operating stateful technologies on Kubernetes including Kafka Flink Spark databases and their operatorsStrong understanding of Kubernetes security including RBAC network policies secrets management and policy enforcementExperience hardening Kubernetes platforms for regulated or securitysensitive environmentsStrong understanding of PKI certificates TLS and certificate lifecycle management in Kubernetes environmentsExperience with capacity planning high availability disaster recovery and cluster scalingProven experience performing Kubernetes upgrades while minimizing service disruptionExperience with GPU scheduling node management and Kubernetes workloads supporting AI or dataintensive applicationsStrong troubleshooting skills across networking storage compute scheduling and Kubernetes controlplane componentsExperience working directly in client data centres and participating in infrastructure or security reviewsAbility to create clear deployment documentation operational runbooks and handover materials for client operations teamsStrong understanding of production reliability observability and operational readiness for Kubernetes platforms
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