Senior Kubernetes Architect & Platform Engineer

Machine Learning Technologies, LLC; North Charleston (SC); On-site; USD 140,000 - 190,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a high-level Kubernetes SME with deep hands-on expertise in orchestration, cloud-native infrastructure, cluster operations, and automation. The role focuses on designing, implementing, and optimizing enterprise-grade Kubernetes environments across multi-cloud settings.

You will lead technical initiatives, provide mentorship, and collaborate with application teams to onboard workloads, establish deployment patterns, and improve resource utilization.

Qualifications

• 5+ years of hands-on Kubernetes experience.
• Experience with multi-cloud deployments.
• DoD security clearance eligibility.
• Strong documentation and leadership skills.

Responsibilities

• Design, implement, manage, and optimize enterprise-grade Kubernetes environments.
• Architect, deploy, and optimize clusters across bare-metal, virtualized, and multi-cloud environments.
• Develop automation templates and reusable patterns for consistency and repeatability.

Skills

Kubernetes architecture

Multi-cloud

GitOps

Networking

Observability

DoD clearance eligibility

Infrastructure as Code

CI/CD

Kubernetes security

Helm

Education

BS Degree in a relevant field

Tools

AKS

EKS

GKE

Docker

Job description

Machine Learning Technologies, LLC is seeking a high-level Kubernetes SME with deep hands-on expertise in orchestration, cloud-native infrastructure, cluster operations, and automation. The role focuses on designing, implementing, and optimizing enterprise-grade Kubernetes environments across multi-cloud settings.

You will lead technical initiatives, provide mentorship, and collaborate with application teams to onboard workloads, establish deployment patterns, and improve resource utilization.