WEKA Data Platform Administrator
- Remote, United States
- Mid-level
- Posted 13 days ago
or apply from Claude / ChatGPT / Muse
Run the WEKA storage deployment for cloud companies that sell GPU capacity, so their tenants' training and inference workloads keep working. Remote in the US.
About the role
Day-to-day ownership of a WEKA environment for AI hyperscaler customers: health, upgrades, capacity, file systems and tuning for the workloads tenants actually run.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Skills
- WEKA Data Platform, Kubernetes, Python, Bash, Ansible, POSIX, NFS
- Posted
- 22 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Handle monitoring, health checks, upgrades, capacity, configuration and audits for the deployment.
- Set up file systems, object storage tiering, snapshots, quotas and POSIX, NFS, SMB and S3 protocols as tenants grow.
- Apply approved changes with scope, risk class, validation and a rollback, then record the result.
What they look for
- Hands-on administration of the WEKA Data Platform in production environments.
- Comfort with Kubernetes, the WEKA operator and CSI driver, plus GPU node clients and SR-IOV networking.
- Scripting and automation skills in Python, Bash and Ansible.
- Ability to write runbooks a backup engineer can follow, including recovery and rollback steps.
- Judgment to spot drift, capacity pressure and anomalies and raise them early with a fix.
Nice to have
- Experience tuning per-tenant QoS and performance baselines with benchmarks.
A typical week
- Watch the environment for drift, capacity pressure and anomalies and report them with a suggested path.
- Work with tenants and their platform teams to see how each workload uses storage.
- Tune layout, tiering, snapshot policy, quotas and QoS to fit the workload.
- Check client configuration and scripts before they reach production.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
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- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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- Log in to Keywordise and approve. Then send the prompt in a new chat.
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Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job yobfqbhumfQuestions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a mid-level role. The posting asks for: hands-on administration of the WEKA Data Platform in production environments; comfort with Kubernetes, the WEKA operator and CSI driver, plus GPU node clients and SR-IOV networking; scripting and automation skills in Python, Bash and Ansible. Skills it names include WEKA Data Platform, Kubernetes, Python, Bash.
How do I apply with Keywordise AI?
Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.
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