GitLabHiring

Backend Engineer, Knowledge Graph (Rust)

  • Remote, North America
  • Mid-level
  • Posted 6 days ago
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In one line

Intermediate backend role on a Rust-first team building a graph data service that feeds AI agents and analytics across the platform.

About the role

Knowledge Graph turns software lifecycle and code data into a property graph, then serves secure queries and MCP tools to AI agents and product features. The team values clear ownership and careful system design.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, North America
Seniority
Mid-level
Skills
Rust, ClickHouse, NATS JetStream, Observability
Posted
23 Oct 2026
Last checked
28 Oct 2026

What you will do

  • Build backend features in the Rust graph service, including query engine, indexing flows and API endpoints
  • Keep the service integrated with the wider platform, touching Rails, the data insights stack and the agent platform
  • Join design discussions, propose options and document decisions with reliability and scale in mind
  • Improve metrics, logging, runbooks and alerts, and take part in on-call rotation
  • Work asynchronously with product, data, infrastructure, security and AI teams

What they look for

  • Backend development experience, ideally writing Rust in production
  • Familiarity with analytical data stores such as ClickHouse and messaging like NATS JetStream
  • Comfort working across service boundaries and with API design
  • Care for observability, testing and operational readiness
  • Ability to collaborate async with distributed teams

Nice to have

  • Experience with graph data models or query engines

How Keywordise applies for you

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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
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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
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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 North America.

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 mid-level role. The posting asks for: backend development experience, ideally writing Rust in production; familiarity with analytical data stores such as ClickHouse and messaging like NATS JetStream; comfort working across service boundaries and with API design. Skills it names include Rust, ClickHouse, NATS JetStream, Observability.

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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