RaftHiring

Lead Engineer

  • Remote, United States
  • Lead
  • Posted 8 days ago
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In one line

Hands-on lead engineer for an AI mission platform, setting architecture and writing production code; US-based only, with citizenship required.

About the role

The role sits at the intersection of distributed systems, ML platform work, Kubernetes infrastructure and data-heavy applications. It balances fast delivery for government missions with long-term platform quality.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Kubernetes, AI/ML, Distributed systems, Cloud
Posted
21 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Make architecture calls across performance, scalability, security and maintainability, and build agreement among engineering and product
  • Lead large technical epics from early concept through delivery, splitting vague problems into plans teams can execute
  • Untangle distributed system architecture as the platform grows, cutting incidental complexity and improving reliability
  • Tune performance on edge and cloud targets, finding bottlenecks in latency-sensitive, data-heavy environments
  • Mentor engineers at several levels through design reviews and code feedback, and set reusable engineering patterns

What they look for

  • Deep experience designing and scaling complex production systems
  • Hands-on coding ability with distributed systems and multi-vendor integrations
  • Familiarity with Kubernetes-native infrastructure and AI/ML platform engineering
  • Skill at debugging hard distributed issues and making pragmatic tradeoffs under ambiguity
  • US citizenship and work conducted within the continental US

Nice to have

  • Experience with data-intensive application development

How Keywordise applies for you

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

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ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
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.

Prompt
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How to connect

Questions 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?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: deep experience designing and scaling complex production systems; hands-on coding ability with distributed systems and multi-vendor integrations; familiarity with Kubernetes-native infrastructure and AI/ML platform engineering. Skills it names include Kubernetes, AI/ML, Distributed systems, Cloud.

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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