Lead Kubernetes Architect (AKS and GKE)

Become a part of our caring community   Humana is seeking a Lead Kubernetes Architect to lead the architecture, engineering standards, and lifecycle strategy for enterprise Kubernetes platforms, with a primary focus on Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE). This role is central to advancing Humana’s container platform maturity and enabling secure, scalable, resilient, and highly automated Kubernetes capabilities across cloud environments. The Lead Kubernetes Architect will partner across Cloud Engineering, Security, Network, Platform, SRE, DevOps, and application teams to define Kubernetes reference architectures, establish platform best practices, guide roadmap execution, and support Day 2 operational excellence. This individual will serve as a technical leader for multi-cluster design, platform resiliency, security controls, automation, observability, AI/ML-enabled operations, and GitOps-driven delivery patterns supporting Humana’s Cloud Platform strategy. This is a hands-on architecture leadership role for someone who can operate strategically and tactically—shaping standards, solving complex technical issues, mentoring engineers, and driving Kubernetes platform adoption at enterprise scale. Key Responsibilities Kubernetes Platform Architecture • Lead the architecture, design, and implementation of enterprise Kubernetes platforms across AKS and GKE , from initial planning through production deployment and ongoing lifecycle management. • Define and maintain Kubernetes reference architectures, design standards, and reusable platform patterns for secure, scalable, and resilient container hosting. • Develop and execute a Kubernetes product maturity roadmap aligned to Humana’s Cloud Platform strategy and business priorities. • Design for multi-cluster, multi-region, and highly available deployment models, including failover and disaster recovery considerations where required. Engineering and Delivery Leadership • Lead new Kubernetes platform capabilities from concept through design, build, validation, release, and operational support. • Drive adoption of Infrastructure as Code , GitOps , and CI/CD delivery models for Kubernetes platform provisioning and workload enablement. • Partner with cross-functional teams to onboard applications and build platform capabilities that improve developer experience, security, and operational consistency. • Facilitate technical workshops, architecture reviews, roadmap sessions, whiteboarding sessions, and design reviews. AI/ML, Automation, and Cost Optimization • Identify and implement AI and ML-driven enhancements to improve Kubernetes platform operations, accelerate incident detection and remediation, and drive measurable cost reduction and operational efficiencies . • Evaluate and apply intelligent automation for capacity forecasting, workload placement, anomaly detection, rightsizing recommendations, and platform performance tuning. • Partner with engineering and operations teams to incorporate data-driven insights into platform scaling, utilization management, and service reliability decisions. • Define strategies to improve platform efficiency through predictive analytics, automation, and continuous optimization of cluster and workload resources. Kubernetes Resource Optimization and Capacity Management • Lead the optimization of Kubernetes resources , including CPU, memory, storage, node pools, autoscaling policies, and workload scheduling to maximize efficiency and platform performance. • Establish and manage capacity planning practices for Kubernetes clusters and supporting network dependencies to ensure adequate performance, scalability, and availability. • Monitor and improve cluster utilization, node health, and workload distribution to re