Skill · AI Hiring Index · as of 2026-10-05
Kubernetes in AI job postings
19% of technical postings at the AI companies we track mention Kubernetes (964 postings). Security postings ask for it most: 36%.
Technical postings that mention it
19%
964 postings
Which roles ask for it
Share of each technical role family's open postings that mention Kubernetes.
| Role family | Share, as a bar | Share |
|---|---|---|
| Security | 36% | |
| Inference / Perf | 29% | |
| Infra / Hardware | 26% | |
| Software Eng | 20% | |
| Research Engineer | 18% | |
| FDE / Applied | 13% | |
| AI / ML Engineer | 11% | |
| Safety / Policy | 5% | |
| Research Scientist | 3% | |
| Evals / Data | 1% |
Companies asking for it most
| Company | Postings | Of its technical postings |
|---|---|---|
| CoreWeave | 105 | 60% |
| Databricks | 64 | 12% |
| Nebius | 59 | 27% |
| Anthropic | 49 | 15% |
| Crusoe | 49 | 30% |
| Scale AI | 43 | 41% |
| OpenAI | 37 | 8% |
| Mistral AI | 36 | 30% |
| Applied Intuition | 34 | 15% |
| Together AI | 30 | 54% |
How to learn it
- Learn Kubernetes Basics — Kubernetes documentation free
The project's own six-module tutorial: create a cluster, deploy, expose, scale and roll out an app — the vocabulary every customer's environment is written in, in an afternoon.
- Troubleshooting Applications — Kubernetes documentation free
Pods, services and running containers debugged with what you get on a cluster you do not own — describe, logs, events, a shell — the job when a customer's deployment misbehaves.
Project: Deploy your agent where a customer would run it — Package the agent as a container, deploy it to a local cluster with its secrets, a health probe and resource limits, then kill a node and watch what happens.