Full-stack Engineer 5, Shopping Categories
- Remote, United States
- Full-time
- Senior
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Full-stack engineering role on a small product team launching new shopping experiences from scratch, remote eligible, with heavy backend work in TypeScript and JavaScript.
About the role
New product spaces go from first idea to deployment here, with engineers working closely with product managers on technical strategy. The team handles microservices and data pipelines covering billions of items and terabytes of analytics.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Employment
- Full-time
- Skills
- TypeScript, JavaScript, SQL, Python, Go, AWS, Docker, Kubernetes
- Posted
- 14 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Take technical ownership of new products from inception through deployment
- Build scalable distributed microservices with a strong backend focus
- Work across stacks, mostly JavaScript and TypeScript, plus big data pipelines
- Define technical strategy with product managers and turn vague needs into working features
- Mentor other engineers and lead by example in design reviews and hands-on coding
What they look for
- Six or more years in software engineering, internships not counted
- Three or more years with public cloud platforms such as AWS, GCP or Azure
Nice to have
- Master's degree in computer science or a related field
- Nine or more years coding in more than two of Go, Java, JavaScript or TypeScript, Python, Rust, C or Scala
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
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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.
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ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
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- 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 om2mshia5cQuestions 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?
No pay range is stated in the posting.
What experience is needed?
It is a senior role. The posting asks for: six or more years in software engineering, internships not counted; three or more years with public cloud platforms such as AWS, GCP or Azure. Skills it names include TypeScript, JavaScript, SQL, Python.
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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