Staff Full Stack Engineer
- Remote, United States
- Senior
- Posted 9 days ago
or apply from Claude / ChatGPT / Muse
Staff-level full stack role building consumer health products end to end, from Java and Python services on GCP to Angular frontends.
About the role
Owns complete product slices and rapid prototypes with product managers, working as a senior individual contributor across backend and frontend. The work reaches millions of users through employer and health plan benefit programs.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- Java, Spring, Spring Boot, Python, Angular, GCP, Microservices
- Posted
- 26 Oct 2026
- Last checked
- 30 Oct 2026
What you will do
- Architect and ship full product slices, backend through UI
- Build scalable Java Spring and Python services on GCP
- Craft white-labeled micro-frontends in Angular
- Turn early product ideas into production-ready experiences with product managers
- Set standards for code quality, deployment speed and system design
- Tune backend response times and client-side rendering for fast experiences
What they look for
- Eight or more years of software engineering across frontend and backend at scale
- Strong Java with Spring or Spring Boot, or Python
- Experience building resilient, high-throughput microservices
- Comfort moving between backend architecture and Angular frontends
- Able to take ownership and ship without waiting for handoffs
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 7brckid44gQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at 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: eight or more years of software engineering across frontend and backend at scale; strong Java with Spring or Spring Boot, or Python; experience building resilient, high-throughput microservices. Skills it names include Java, Spring, Spring Boot, 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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