About this role
Job Description Position: Kubernetes Platform Architect Experience: 10+ Years Primary Skill: Kubernetes / Platform Engineering Cloud Preference: AWS Role Overview The Kubernetes Platform Architect will provide technical leadership for designing, implementing, and operating enterprise-scale Kubernetes platforms. The role focuses on platform architecture, lifecycle automation, security, observability, resilience, and multi-cluster strategy. Must-Have Skills 10+ years of Infrastructure, Cloud, or Platform Engineering experience. 5+ years of hands-on experience with deep expertise in Kubernetes. 5+ years of Kubernetes architecture experience. Certified Kubernetes Administrator (CKA) certification is mandatory. Strong platform engineering experience with Kubernetes, rather than application development on Kubernetes. Strong Kubernetes architecture knowledge including control plane, worker nodes, API Server, etcd, resource lifecycle management, and reconciliation patterns. Strong experience with Cluster API (CAPI) for cluster provisioning, scaling, upgrades, lifecycle management, and infrastructure automation. 7+ years of hands-on experience with Kubernetes workloads including Pods, Deployments, StatefulSets, DaemonSets, Jobs, ConfigMaps, Secrets, and container lifecycle operations. Strong Kubernetes networking experience including CNI, CoreDNS, Ingress Controllers, Gateway API, Load Balancers, Service Discovery, and Network Policies. Experience with GitOps using Flux, Helm, Kustomize , and Infrastructure-as-Code practices. Strong Kubernetes security experience including RBAC, Service Accounts, Secrets Management, certificate management, and policy enforcement. Experience with observability platforms such as Prometheus and Grafana , including centralized logging, monitoring, alerting, and performance management. Experience with persistent storage including CSI drivers, Storage Classes, PV/PVC administration, and stateful workloads. Experience designing disaster recovery, backup/restore, high availability, and resilient Kubernetes platforms. Strong troubleshooting skills across Kubernetes clusters, nodes, networking, workloads, scheduling, storage, authentication, and infrastructure. Strong AWS cloud experience with Kubernetes platforms.