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Lead Kubernetes Architect – AKS, GKE

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $142.3k - $195.7k / year

⏰ Full Time

🟠 Senior

🏛️ Architect

Where this job comes from

Posted on Humana's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of Humana

Humana

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Lead the architecture, design, and implementation of enterprise Kubernetes platforms across AKS and GKE • Define and maintain Kubernetes reference architectures, design standards, and reusable platform patterns • Develop and execute a Kubernetes product maturity roadmap aligned with Humana's Cloud Platform strategy • Design multi-cluster, multi-region, highly available deployment models, including failover and disaster recovery • Lead 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 • Partner with cross-functional teams to onboard applications and improve developer experience, security, and operational consistency • Facilitate technical workshops, architecture reviews, roadmap sessions, whiteboarding sessions, and design reviews • Implement AI/ML-driven enhancements for incident detection, remediation, cost reduction, and operational efficiency • Apply intelligent automation for capacity forecasting, workload placement, anomaly detection, rightsizing, and performance tuning • Optimize Kubernetes CPU, memory, storage, node pools, autoscaling policies, and workload scheduling • Establish capacity planning practices and monitor cluster utilization, node health, and workload distribution • Partner with network and platform teams on ingress, egress, load balancing, DNS, traffic management, and cluster networking • Establish thresholds, alerts, and remediation patterns to prevent capacity-related incidents • Enforce Kubernetes best practices for networking, identity and access management, certificates, pod security, policies, and observability • Drive resiliency through autoscaling, upgrade planning, health monitoring, rollback strategies, and operational guardrails • Define and evolve the Kubernetes lifecycle support model, including provisioning, upgrades, patching, deprecation, Day 2 operations, and service ownership • Lead troubleshooting and resolution of complex platform issues, production incidents, and cross-team escalations • Improve platform observability, logging, alerting, and operational readiness • Contribute to Kubernetes cost optimization through right-sizing, autoscaling, and non-production optimization • Mentor junior and mid-level engineers through technical leadership, coaching, and delegation • Provide architectural guidance to application teams, product teams, and cloud engineers • Build partnerships with internal stakeholders, vendors, and engineering teams • Lead technical demonstrations and communicate architecture decisions to technical and non-technical audiences

🎯 Requirements

• 5+ years of experience in software engineering, platform engineering, cloud engineering, or infrastructure engineering • Enterprise experience architecting, implementing, and supporting Kubernetes platforms, including AKS, GKE, and/or EKS • Hands-on experience building and deploying cloud infrastructure through CI/CD and Infrastructure as Code in Azure, GCP, or AWS • Experience developing and operationalizing a Kubernetes lifecycle support model, including upgrades, support, reliability, and Day 2 operations • Strong experience with Kubernetes architecture fundamentals, including cluster design and provisioning, networking and ingress, load balancing, RBAC and identity integration, pod security and policy enforcement, certificate and secret management, monitoring, logging, and troubleshooting • Experience optimizing Kubernetes resource utilization, scaling strategies, and cluster capacity management in enterprise environments • Experience leading engineering initiatives in Agile delivery environments and managing work through tools such as Azure DevOps • Strong problem-solving skills • Excellent written, verbal, presentation, and stakeholder communication skills • Bachelor's degree in Computer Science, Engineering, or a related technical field (preferred) • Advanced hands-on experience with AKS and GKE in large-scale enterprise environments • Experience supporting Day 2 operations for Kubernetes clusters in production • Experience applying AI/ML, predictive analytics, or intelligent automation to cloud operations, cost optimization, observability, or capacity planning • Experience with GitHub, Terraform, and GitOps delivery models such as ArgoCD • Experience with enterprise platform tooling such as Dynatrace, Prisma Cloud/Twistlock, HashiCorp Vault, Splunk, JFrog Artifactory, and Apigee • Familiarity with service mesh, backup/recovery tooling, policy enforcement, and cluster security controls • Experience with Docker • Working knowledge of APIs and relational databases such as SQL • Cloud certifications in Azure, Google Cloud, or AWS (preferred) • Kubernetes certifications such as CKA, CKAD, or CKS (preferred) • Minimum home internet speed of 25 Mbps download and 10 Mbps upload • Ability to work from a dedicated space without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan based on company and/or individual performance • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • Work-from-home arrangement • Occasional travel to Humana offices for training or meetings • Dedicated workspace and internet service requirements to support remote work

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