A cloud consulting firmHiring

Senior Engineer (Azure, Terraform, Kubernetes)

  • Remote, United States
  • Full-time
  • Senior
  • Posted 11 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Platform engineering role in a small remote squad, building Kubernetes and Terraform setups for large regulated clients on Azure and AWS.

About the role

The team of four to five engineers handles cloud migrations, modernization and DevOps work for enterprises, mixing modern and legacy systems. Full-time remote, with regular in-person meetups.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Azure, Terraform, Kubernetes, AWS, CI/CD, GitHub Actions, Azure DevOps, Jenkins
Posted
24 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Design, deploy and run Kubernetes clusters on Azure or AWS.
  • Build CI/CD pipelines and automated infrastructure with Terraform and similar tools.
  • Move legacy workloads such as Java.NET, ETL jobs and databases onto cloud-native services.
  • Set up monitoring and tune systems for reliability, cost and resilience.

What they look for

  • Five or more years in platform, DevOps or infrastructure engineering.
  • Five or more years with Azure, plus three with Terraform and other IaC tooling.
  • Two or more years running Kubernetes in production, and some AWS experience.
  • Background in consulting or client-facing delivery, with clear communication to non-technical stakeholders.
  • Experience modernizing legacy workloads and building distributed systems.

Nice to have

  • Work in a regulated sector such as finance or healthcare.
  • Professional-level AWS and Azure certifications, or CKA, CKAD or CKS.
  • ETL or data pipeline work with tools like DataStage, ADF, Glue or Airflow.

Benefits

  • Remote-first setup with a flexible schedule and time off.
  • Home office support and a 401k with up to 4% match.
  • Medical, dental, vision and life insurance.

How Keywordise applies for you

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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

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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
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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
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How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes. The posting lists Senior Engineer (Azure, Terraform, Kubernetes) as a remote role for 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: five or more years in platform, DevOps or infrastructure engineering; five or more years with Azure, plus three with Terraform and other IaC tooling; two or more years running Kubernetes in production, and some AWS experience. Skills it names include Azure, Terraform, Kubernetes, AWS.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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