Staff Software Engineer, Backend and Data Engineering
- Remote, United States
- Senior
- Posted 8 days ago
or apply from Claude / ChatGPT / Muse
Staff backend and data engineering role on a fulfillment platform for marketplace sellers, building infrastructure, tooling and ML frameworks.
About the role
Platform capabilities for seller fulfillment, from inventory intake to forecasting, are the core of the work. The team ships iteratively alongside product, business and analytics partners.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Java, Python, Microservices, Containers, CI/CD, API design, Data engineering
- Posted
- 21 Oct 2026
- Last checked
- 23 Oct 2026
What you will do
- Build platform capabilities: infrastructure, tooling and ML frameworks.
- Apply cloud-native architecture for resilient, scalable systems.
- Own the full lifecycle from coding and testing to deployment and monitoring.
- Run system design reviews against architectural best practices.
- Mentor engineers and share technical decisions through documentation.
What they look for
- Eight to ten years with cloud-native architecture, microservices, containers and data engineering.
- Strength in design patterns, API design and platform development.
- Experience leading coding, testing and CI/CD deployment end to end.
- AI/ML integration skills using Java or Python.
Benefits
- Medical, vision and dental cover, 401(k) and stock purchase.
- Paid time off including parental and family care leave.
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 h3rc5i7ec3Questions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people 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: eight to ten years with cloud-native architecture, microservices, containers and data engineering; strength in design patterns, API design and platform development; experience leading coding, testing and CI/CD deployment end to end. Skills it names include Java, Python, Microservices, Containers.
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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