Senior Kubernetes Platform Architect

Hudson Manpower

Plano (TX)

On-site

USD 140,000 - 180,000

Full time

4 days ago

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Job summary

Hudson Manpower seeks a Kubernetes Platform Architect to provide technical leadership for enterprise-scale Kubernetes platforms, focusing on architecture, lifecycle automation, security, observability, resilience, and multi-cluster strategy. You will lead provisioning, upgrades, and automation initiatives, partnering with DevOps and security teams to ensure resilience and performance.

The role requires 10+ years in infrastructure or platform engineering with deep Kubernetes expertise, CKA

Qualifications

10+ years in Infrastructure, Cloud, or Platform Engineering.
5+ years hands-on with Kubernetes expertise.
CKA certification mandatory.
Strong focus on platform engineering for Kubernetes, not app dev.
Experience with Cluster API for provisioning, scaling, and automation.
Kubernetes security: RBAC, Secrets management, policies.
Observability: Prometheus/Grafana and centralized logging.
Strong AWS cloud experience with Kubernetes platforms.

Responsibilities

Architect, design, and govern enterprise Kubernetes platforms for mission-critical apps.
Define Kubernetes reference architectures, platform standards, and lifecycle processes.
Lead cluster provisioning, upgrades, scaling, and decommissioning using Cluster API.
Design secure, highly available, multi-cluster Kubernetes environments.
Establish GitOps for configuration management and deployment automation.
Drive Kubernetes security governance, RBAC, secrets management, and policy enforcement.
Implement monitoring, logging, alerting, and observability solutions.
Develop capacity planning, workload scheduling, and resource optimization.
Lead RCA and resolution of complex platform issues in networking, storage, security, and availability.
Design and validate backup, disaster recovery, and business continuity plans.
Collaborate with development, infrastructure, security, and DevOps teams.
Establish governance, tenancy, automation, and cost optimization across clusters.
Provide technical leadership and mentorship to platform engineering teams.
Evaluate emerging Kubernetes technologies and drive modernization.