Senior/Staff Platform Software Engineer
- Remote, United States
- Senior
- Posted 6 days ago
or apply from Claude / ChatGPT / Muse
Platform engineering role on a team building the core backend for an AI agent platform; backend services, infrastructure automation and reliability work.
About the role
Remote-friendly setup with a small founding team of engineers from search and distributed systems backgrounds. The work is about keeping the platform fast, observable and dependable as it scales.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Java, Python, Docker, Kubernetes, Terraform, Pulumi, Prometheus, Grafana
- Posted
- 29 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Build and run secure backend services and shared platform pieces.
- Own infrastructure automation, CI/CD and monitoring pipelines.
- Lead design and code reviews, and mentor other engineers.
- Work with product and research teams to run ML and NLP workloads.
What they look for
- At least five years as a software engineer, mostly on backend and platform work.
- Fluent in Java and Python.
- Hands-on with Docker, Kubernetes and infrastructure-as-code such as Terraform or Pulumi.
- Experience with cloud environments (GCP, AWS, Azure or on-prem) and observability tools.
- Has supported ML workloads in production and built distributed systems.
Nice to have
- Familiar with Kafka, Spark or Airflow data tooling.
Benefits
- Full-time staff receive equity in the company.
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 jlahuanp7eQuestions about this job
Can I do this job remotely, and from which countries?
The posting lists it as remote for people 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: at least five years as a software engineer, mostly on backend and platform work; fluent in Java and Python; hands-on with Docker, Kubernetes and infrastructure-as-code such as Terraform or Pulumi. Skills it names include Java, Python, Docker, Kubernetes.
How do I apply with Keywordise AI?
Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.
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