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Senior Kubernetes Platform Engineer - AI/ML Infrastructure

Research Triangle Park, North Carolina, United States of America R

USD 139K-203K Senior-level Full Time

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Found 1d ago
Tasks
Perks/Benefits
Skills/Tech-stack

AIOps | Anomaly Detection | Custom Resource Definitions | Deployment Pipelines | Distributed Systems | Distributed tracing | Etcd | GPU | Go | Google Anthos | Incident Response | Infrastructure as Code | Kubernetes | Kubernetes Operators | Kubernetes Webhooks | Kubernetes controllers | LLM Deployment | LLM Deployment Pipelines | Language Models | Large Language Models | Logging | Machine Learning | Metrics | Observability | OpenShift | Resource utilization | Scheduling | Telemetry | “as-code”

Education

N/A

Roles

Engineer | Kubernetes Platform Engineer | Platform Engineer | Senior Kubernetes Platform Engineer

Regions

North America

Countries

United States

States

North Carolina, US

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