Remote positions
Browse vetted remote Kubernetes positions — AI infrastructure, MLOps platforms, GPU cluster orchestration, and model serving at scale.
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Full-time roles and fixed-scope freelance missions — matched to your AI skills.
Posted 6 days ago
About the Team:Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, pr...
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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
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 1 week ago
Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, a...
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Posted 1 week 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 1 week 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 1 week ago
The Technical Account Manager ("TAM") Architect role will be a member of our Support Services team and Support group, planned to report into our regio...
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Posted 1 week 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 1 week ago
ClickHouse is expanding its cloud data platform across AWS, GCP, and Azure—adding new capabilities that connect and extend Postgres and ClickHouse for...
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Posted 1 week ago
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a bi...
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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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