A technology infrastructure companyHiring

AI Infrastructure Consulting Engineer, Orchestration and Platform

  • Remote, United States
  • Mid-level
  • Posted 8 days ago
In one line

Client-facing consulting engineer who sets up and supports platforms that schedule and run enterprise AI workloads, mostly on Kubernetes. Billable work with some travel and occasional weekend hours.

About the role

The role covers installation, integration and handoff across customer environments, with time and budget tracked against each statement of work. Success means systems run as designed and clients sign off.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Kubernetes, ClearML, Slurm, Helm, Linux, Git, NVIDIA GPU Operator
Posted
27 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Run discovery, validation, upgrades, troubleshooting and knowledge transfer
  • Write as-built docs, test plans, work logs and handoff materials
  • Track time and expenses against the statement of work and raise scope or budget risks early

What they look for

  • Bachelor's degree plus 3 years delivering complex platform, infrastructure or cloud-native solutions, or 7 years without a degree
  • Hands-on Kubernetes administration in production or customer settings
  • Knowledge of GPU scheduling, quotas, tenancy, resource allocation and job lifecycle
  • Experience with Run:ai, ClearML, Slurm, NVIDIA Base Command or similar orchestration tools
  • Linux, scripting, APIs, Git workflows and infrastructure automation

How Keywordise applies for you

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Connector URL
https://keywordise.com/mcp

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Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

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Prompt
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Questions about this job

Is this job fully remote, and from where?

Yes, it is listed as remote, aimed at candidates 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: bachelor's degree plus 3 years delivering complex platform, infrastructure or cloud-native solutions, or 7 years without a degree; hands-on Kubernetes administration in production or customer settings; knowledge of GPU scheduling, quotas, tenancy, resource allocation and job lifecycle. Skills it names include Kubernetes, ClearML, Slurm, Helm.

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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