Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Posted 6 days ago
About the teamThe Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part...
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Posted 6 days ago
About the TeamThe Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This inc...
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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
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
Join us in revolutionizing Observability for Developers! We’re on a mission to redefine how engineers monitor, debug, and scale their production appl...
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Posted 6 days ago
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI resear...
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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
Join us in revolutionizing Observability for Developers! We’re on a mission to redefine how engineers monitor, debug, and scale their production appl...
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Posted 6 days ago
About the TeamThe Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This inc...
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Posted 6 days ago
About the TeamThe Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This inc...
Trust & safety
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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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