Kubernetes Platform Architect

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.