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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 23 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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Posted 23 hours ago
Security Engineer
Who We AreOur mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the soft...
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Posted 23 hours ago
Security 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 1 day ago
Mid DevOps Engineer (B2B)
The team waiting for you:Our Infrastructure Team is responsible for operating a highly robust platform running across Google Cloud and bare-metal envi...
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Posted 1 day ago
Software Engineer (Full Stack)
About TensorWaveAt TensorWave, we're revolutionizing AI computing by offering the most advanced cloud services, highlighted by our deployment of AMD I...
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Posted 1 day ago
Machine Learning Engineer
Machine Learning Engineer You'll build the ML behind Firecrawl: the models and the systems that serve them. That starts with search: training and ship...
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Posted 1 day ago
Partner Solutions Architect
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 1 day ago
Principal Solutions Architect Middle East
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 1 day ago
Senior Software Engineer (Agent Training and Evals)
Senior Software Engineer - (Agent Training and Evals) Engineering Prolific Prolific is not just another player in the AI space – we are the archite...
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Posted 1 day ago
ML Infrastructure 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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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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