NebiusHiring

Senior Support Engineer

  • USD 150,000 to 200,000 per year
  • Remote, United States
  • Senior
  • Posted 7 days ago
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In one line

Second-line support for cloud and AI customers, fixing escalated Linux, Kubernetes, networking and storage problems; remote in the US on rotating shifts.

About the role

Escalated tickets land with you when front-line support cannot solve them, across GPU cloud, storage and machine learning pipelines.

At a glance

Pay
USD 150,000 to 200,000 per year
Remote scope
Remote, United States
Seniority
Senior
Skills
Linux, Kubernetes, AWS, Azure, GCP, Python, Bash, ML pipelines
Posted
28 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Diagnose escalated issues in Linux, networking, security, Kubernetes and cloud environments
  • Work through storage problems using a solid grasp of data storage concepts
  • Help troubleshoot model deployment, performance and pipeline integration in ML setups
  • Write Python and Bash scripts that automate repetitive support work

What they look for

  • Advanced Linux administration
  • Intermediate networking, Kubernetes and cloud platforms such as AWS, Azure or GCP
  • Intermediate Python or Bash scripting
  • Intermediate knowledge of ML training, inference and pipelines, plus data storage concepts
  • Five or more years in technical support, three of them hands-on with cloud

Benefits

  • Full medical, dental and vision paid for employees and families
  • 401(k) with up to 4% match and immediate vesting

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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Connect Keywordise to your assistant once, then send it the prompt. It applies for you.

ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
Apply to Keywordise job srvfwdt7o7
How to connect

Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting states USD 150,000 to 200,000 per year.

What experience is needed?

It is a senior role. The posting asks for: advanced Linux administration; intermediate networking, Kubernetes and cloud platforms such as AWS, Azure or GCP; intermediate Python or Bash scripting. Skills it names include Linux, Kubernetes, AWS, Azure.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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