Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
Top matching AI roles
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Posted 5 days ago
About HexHex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today’s data and an...
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Posted 5 days ago
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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Posted 5 days ago
About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Data...
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Posted 6 days ago
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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Posted 6 days ago
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 6 days ago
About SupabaseSupabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Data...
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Posted 6 days ago
About the team The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident...
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Posted 6 days ago
About Us:Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, w...
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Posted 6 days ago
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Posted 6 days ago
ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observabilit...
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Role guide
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 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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