Senior AWS Platform Engineer
- Remote, worldwide
- Senior
- Posted 7 days ago
or apply from Claude / ChatGPT / Muse
Platform engineering role modernising an AWS setup for health apps used by millions; you build reusable infrastructure and safer delivery.
About the role
Fits an engineer who likes hard problems but avoids complexity for its own sake, since the platform runs live healthcare services. Much of the code came from outside partners and is being brought in-house step by step.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, worldwide
- Seniority
- Senior
- Skills
- AWS, Terraform, CI/CD, Observability, Infrastructure as Code
- Posted
- 28 Oct 2026
- Last checked
- 1 Nov 2026
What you will do
- Build and evolve the AWS platform with Terraform as the source of truth
- Create reusable infrastructure, pipelines and tooling so teams ship on their own
- Add cloud-native and event-driven pieces where they truly help
- Make monitoring, logging, dashboards and alerting standard across the platform
- Improve delivery with automated CI/CD, progressive rollout and reliable rollback
- Embed security into the platform foundations
What they look for
- Hands-on AWS platform engineering experience
- Solid Terraform and infrastructure as code skills
- Comfort with CI/CD, observability and event-driven architecture
- A pragmatic streak and care for reliability and security
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 w6i5vjzxzsQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, and the posting does not tie it to one country.
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: hands-on AWS platform engineering experience; solid Terraform and infrastructure as code skills; comfort with CI/CD, observability and event-driven architecture. Skills it names include AWS, Terraform, CI/CD, Observability.
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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