Staff Software Engineer, Infrastructure Data Engineering
- Remote, United States
- Senior
- Posted 10 days ago
or apply from Claude / ChatGPT / Muse
Staff engineer role on an infrastructure data team, building pipelines and services that track cloud usage and cost; individual contributor with cross-team reach.
About the role
Data products here cover cost attribution, ownership and budget planning. The work is hands-on as well as strategic, and the team values tested code, clear contracts and monitoring that holds up in production.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Python, SQL, ETL, Data modeling, Workflow orchestration
- Posted
- 19 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Set the technical direction and roadmap for infrastructure data products that need to scale
- Lead ambiguous cross-team work from problem framing through rollout, and mentor through design reviews
What they look for
- Degree in computer science or a related field, or the same knowledge gained on the job
- Solid record designing and running production data systems or data-heavy services at scale
- Python and SQL skills, with tested and maintainable code shipped to production
- Experience with ingestion, large-scale ETL, data modeling and workflow orchestration
- Able to frame unclear problems, influence through technical judgment and communicate clearly
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 lzn6jnaebpQuestions about this job
Is this a remote job, and where can I work from?
Yes. The posting lists Staff Software Engineer, Infrastructure Data Engineering 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: degree in computer science or a related field, or the same knowledge gained on the job; solid record designing and running production data systems or data-heavy services at scale; python and SQL skills, with tested and maintainable code shipped to production. Skills it names include Python, SQL, ETL, Data modeling.
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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