Forward Deployed Engineer - Kubernetes
- Remote, United States
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Senior Kubernetes engineer role, working directly with client teams on platform migrations and AI infrastructure, embedded in the field.
About the role
This role involves writing production code, building prototypes, and feeding insights back to core engineering teams to improve platform capabilities.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Kubernetes, AI infrastructure
- Posted
- 21 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Collaborate with core software architects and client developers to reduce deployment friction
- Identify and fix platform usability gaps in customer environments
- Architect and maintain Kubernetes clusters optimized for GPU workloads
What they look for
- Experience with Kubernetes and large-scale workload migration
- Ability to write production code and debug in live environments
- Knowledge of AI infrastructure and GPU optimization
Nice to have
- Experience with bare metal and legacy platform migration
- Familiarity with AI inferencing workloads and model serving frameworks
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
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.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
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 4of7qbdkajQuestions about this job
Can I do this job remotely, and from which countries?
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 senior role. The posting asks for: experience with Kubernetes and large-scale workload migration; ability to write production code and debug in live environments; knowledge of AI infrastructure and GPU optimization. Skills it names include Kubernetes, AI infrastructure.
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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