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Remote Kubernetes Jobs
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Posted 17 hours ago
Senior HPC Cluster Engineer
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 17 hours ago
DevOps Engineer - Platform Integrations
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 18 hours ago
Senior Staff Infrastructure Engineer - Virtualization
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 18 hours ago
Cloud DevOps Engineer
Cloud DevOps EngineerYou'll build the cloud infrastructure that turns the open web into data: the platform beneath Firecrawl's crawling, scraping, and...
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Posted 18 hours ago
Staff AI Research Engineer - ML Engineering
Who we areHelsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societi...
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Posted 19 hours ago
Senior Applied AI Solutions Engineer
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that suppo...
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Posted 19 hours ago
Senior Staff Infrastructure Engineer – Kubernetes Platform
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 20 hours ago
Senior Solutions Engineer
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 21 hours ago
Network Automation Software Lead
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Posted 22 hours ago
Head of GPU Capacity Planning
About TensorWaveOur mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform t...
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Role guide
What to expect in remote Kubernetes jobs
Kubernetes is the standard infrastructure platform for production AI systems at scale. Remote Kubernetes jobs at AI companies involve GPU node pool management, MLOps platform engineering, and autoscaling model serving. These roles sit at the intersection of cloud infrastructure and ML systems.
What you'll work on
- Design Kubernetes clusters for distributed model training with GPU nodes
- Deploy AI models with autoscaling using KServe or Seldon
- Build the MLOps platform your data science team runs experiments on
- Manage resource quotas and scheduling for multi-team AI workloads
What companies look for
- GPU node pool configuration and scheduling experience
- Knowledge of Kubeflow, KServe, or Seldon for ML serving
- Helm chart development and GitOps deployment practices
Frequently asked questions
What Kubernetes roles are available remotely in AI?
Primarily MLOps platform engineering, AI infrastructure, and model serving roles. These positions require strong Kubernetes fundamentals plus ML-specific tooling knowledge (Kubeflow, KServe, GPU scheduling).
Do remote Kubernetes AI jobs require cloud provider experience?
Almost always. EKS (AWS), GKE (Google Cloud), and AKS (Azure) are the most common managed Kubernetes platforms. Most job listings specify a primary cloud provider.
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