A cloud security software companyHiring

Solutions Support Engineer

  • Remote, United States
  • Full-time
  • Senior
  • Posted 2 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Technical support engineering for cloud and AI security products, working 9 to 6 Eastern time with on-call rotation.

About the role

Customer technical issues in cloud and container environments, solved through debugging, networking know-how and system administration. Some of the work is scripting and automation so support scales beyond one ticket at a time.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Kubernetes, Azure, AWS, GCP, Java, Python, Linux, TCP/IP
Posted
27 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Own and solve customer technical issues in the product
  • Troubleshoot with debugging, networking and system administration
  • Write and update documentation
  • Build solutions for customers and automate support work with code
  • Flag cases that need escalation
  • Raise and track incident requests to product or engineering

What they look for

  • Five or more years of hands-on technical support, system administration or similar customer-facing work
  • Two or more years with cloud platforms such as Azure, AWS or GCP
  • One or more years designing, deploying and running production Kubernetes clusters and custom apps
  • Can read and debug code in Java, Python, Shell, JavaScript or JSON
  • Comfortable with command-line tools and Linux
  • Available 9 to 6 Eastern time

Nice to have

  • DevOps tooling experience
  • REST or GraphQL APIs
  • Web basics such as HTTP, HTML and DNS
  • Networking fundamentals such as TCP/IP, routing, VPNs, VLANs, peering and load balancing

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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Apply from your AI assistant

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 k65tk5rptq
How to connect

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?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: five or more years of hands-on technical support, system administration or similar customer-facing work; two or more years with cloud platforms such as Azure, AWS or GCP; one or more years designing, deploying and running production Kubernetes clusters and custom apps. Skills it names include Kubernetes, Azure, AWS, GCP.

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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