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.
The comparison framework you'll build will run silently behind every model deployment our platform customers ship, catching regressions before real us...
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Docker, Kubernetes, and MLflow are the core of what we build for clients running dozens of models in production simultaneously. In this role, you'll...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
PyTorch, Kubernetes, and GCP are what our voice synthesis infrastructure runs on, serving real-time speech to conversational AI products used across d...
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Our clients include regulated enterprises where every model deployment needs a documented sign-off trail, and reliability of that trail is non-negotia...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
We don't care where you work from, we care about clean pipelines and predictable deployment behavior during high-risk periods. Our canary analysis and...
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Kubernetes, Docker, and MLflow are the core of what we build at Emrex AI. If you've optimized batch inference scheduling under real cost and latency c...
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We just onboarded our largest training customer yet, and their workloads are pushing our GPU clusters into thermal throttling more often than we'd lik...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
Our infrastructure bill grew faster than our GPU utilization did last quarter, and finance wants an answer before next quarter's budget review — that...
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Posted 2 months ago
United States — Los Angeles (UTC-7)
You'll be the second infrastructure specialist on a lean four-person platform team, working directly with our CTO to solve a problem that's been quiet...
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Docker, Kubernetes, and MLflow are the core of what we build at Lumio Systems. If you've shipped model deployments that engineering teams actually tru...
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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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