Cloud System Engineer
- Remote, worldwide
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Cloud engineering role focused on AWS and JS7 workload automation, keeping distributed SaaS systems reliable and secure; hours shift to India business time after training.
About the role
Suits someone with a strong AWS background and Windows administration skills who likes automating deployments and fixing complex infrastructure problems across teams.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- AWS, SOS Berlin JS7, PowerShell, CloudWatch, Datadog, Prometheus, Windows, Linux
- Posted
- 21 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Set up and run JS7 workload automation, including complex workflows and scheduling
- Build and maintain AWS pieces such as VPC, IAM, EC2, S3, networking and security controls
- Automate provisioning, operational workflows and CI/CD pipelines
- Watch system health with CloudWatch, Datadog or Prometheus and fix issues across the stack
What they look for
- Hands-on experience implementing and supporting JS7 workload automation
- Five or more years managing cloud environments, with deep AWS knowledge
- Windows system administration in a cloud setting; Linux is a plus
- PowerShell scripting and solid grasp of DNS, load balancing, firewalls and VPNs
Nice to have
- Comparable credentials like Microsoft Azure Administrator
- Prior work in enterprise SaaS with high availability needs
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 xqg47wppeoQuestions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Cloud System Engineer as a remote role open to candidates worldwide.
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: hands-on experience implementing and supporting JS7 workload automation; five or more years managing cloud environments, with deep AWS knowledge; windows system administration in a cloud setting; Linux is a plus. Skills it names include AWS, SOS Berlin JS7, PowerShell, CloudWatch.
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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