Kubernetes Platform Architect

Must‑Have Technical/Functional Skills

• 5+ years of hands‑on experience and deep expertise in Kubernetes architecture, including control plane, worker nodes, API server, etcd, resource lifecycle management, and reconciliation patterns.
• 10+ years of Infrastructure, Cloud, or Platform Engineering experience.
• Strong experience with Cluster API (CAPI) for Kubernetes cluster provisioning, scaling, upgrades, lifecycle management, and infrastructure automation.
• 7+ years of hands‑on experience and advanced knowledge of Kubernetes workload management (Pods, Deployments, StatefulSets, DaemonSets, Jobs, ConfigMaps, Secrets, container lifecycle operations).
• Strong expertise in Kubernetes networking (CNI, CoreDNS, Ingress Controllers, Gateway API, Load Balancers, Service Discovery, Network Policies).
• Experience implementing GitOps‑based deployment models using Flux, Helm, Kustomize, and Infrastructure‑as‑Code practices.
• Hands‑on expertise in Kubernetes security (RBAC, Service Accounts, Secrets Management, certificate management, policy enforcement frameworks).
• Strong knowledge of observability platforms (Prometheus, Grafana, centralized logging, monitoring, alerting, performance management).
• Experience with persistent storage technologies (CSI drivers, Storage Classes, PV/PVC administration, stateful workload management).
• Proven experience implementing disaster recovery, backup/restore strategies, high‑availability architectures, and platform resilience.
• Strong troubleshooting skills across Kubernetes clusters, nodes, networking, workloads, scheduling, storage, authentication, and infrastructure components.
• Must‑have certification: Certified Kubernetes Administrator (CKA).

Nice‑to‑Have Experience

• Experience with Nutanix Kubernetes Platform (NKP).
• Certifications: Certified Kubernetes Application Developer (CKAD), Certified Kubernetes Security Specialist (CKS), AWS Solutions Architect Professional / Associate.

Roles & Responsibilities

• Architect, design, and govern enterprise‑scale Kubernetes platforms supporting mission‑critical applications.
• Define Kubernetes reference architectures, platform standards, operational models, and lifecycle management processes.
• Lead cluster provisioning, upgrades, scaling, and decommissioning using Cluster API and automation frameworks.
• Design and implement secure, highly available, and scalable multi‑cluster Kubernetes environments.
• Establish GitOps practices for configuration management, deployment automation, and platform consistency.
• Drive platform security initiatives including RBAC governance, secrets management, admission controls, policy enforcement, and compliance standards.
• Implement monitoring, logging, alerting, and observability solutions to ensure platform health and operational excellence.
• Develop capacity planning, scheduling, workload placement, and resource optimization strategies.
• Lead root‑cause analysis and resolution of complex platform, networking, storage, security, and cluster availability issues.
• Design and validate backup, disaster recovery, and business continuity solutions for Kubernetes environments.
• Collaborate with development, infrastructure, security, and DevOps teams to onboard and support cloud‑native applications.
• Establish governance, tenancy models, operational automation, and cost‑optimization practices across multiple Kubernetes clusters.
• Provide architectural leadership, mentoring, and technical guidance to platform engineering and operations teams.
• Evaluate emerging Kubernetes ecosystem technologies and drive continuous platform modernization initiatives.

Generic Managerial Skills

• Product strategy, roadmap development, and cross‑functional stakeholder leadership.
• Driving continuous improvement through design and standardization of processes and methodologies.
• Assessing feasibility, complexity, and scope of new capabilities and solutions.
• Cross‑functional stakeholder collaboration and communication.
• Understanding of Agile methodologies and collaboration with global business and product teams.

Pay

Salary Range: $130,000 – $150,000 a year

Benefits

• Discretionary annual incentive.
• Comprehensive medical coverage: medical & health, dental & vision, disability planning & insurance, pet insurance.
• Family support: maternal & parental leaves.
• Insurance options: auto & home insurance, identity theft protection.
• Convenience & professional growth: commuter benefits, certification & training reimbursement.
• Time off: vacation, sick leave, holidays.
• Legal & financial assistance: legal assistance, 401(k) plan, performance bonus, college fund, student loan refinancing.

Qualifications

• Bachelor of Computer Science