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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 8 hours ago
Software Engineer, Infrastructure
About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines,...
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Posted 9 hours ago
Senior/Staff Infrastructure Security 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 9 hours ago
Senior Backend Engineer, Billing
Apify is the largest marketplace of tools for AI. On Apify Store, tens of thousands of Actors, purpose-built tools for the web, help people and AI age...
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Posted 9 hours ago
Head of Security
The RoleAs the first Security hire at Nous Research, you'll build and own security end-to-end across our infrastructure, products, and enterprise depl...
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Posted 9 hours ago
Fullstack Engineer, Store
Apify is the largest marketplace of tools for AI. Thousands of Actors helping people and agents get real-time web data, track competitors, generate le...
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Posted 9 hours ago
AI Engineer
About ElicitElicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, startin...
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Posted 10 hours ago
AI Engineer
Apify is the largest marketplace of tools for AI. On Apify Store, tens of thousands of Actors, purpose-built tools for the web, help people and AI age...
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Posted 10 hours ago
Senior Software Engineer
About ElicitElicit is an AI research assistant that uses language models to help researchers figure out what’s true and make better decisions, startin...
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Posted 11 hours ago
Site Reliability Engineer
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 11 hours ago
Software Engineer, Hermes Cloud
The RoleAs a Software Engineer on the Hermes Cloud team, you'll own full-stack engineering across the cloud platform that powers Hermes Agent and Nous...
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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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