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Platform Ownership:

  • Own the multi-tenant platform and maintain infrastructure for hundreds of MCP codebases.
  • Ensure tenant isolation and configurability, observable from a single pane.
  • Architect for scale and automate codebase provisioning.

Data Backbone:

  • Design pipelines to aggregate statistics, analytics, and performance metrics.
  • Make data real-time, reliable, and actionable across deployed instances.
  • Utilize big data technologies like Kafka and ClickHouse.

Automation and Instrumentation:

  • Implement CI/CD pipelines and health monitoring systems.
  • Automate codebase provisioning and rollback systems.
  • Instrument relentlessly with logging, tracing, and alerting.

Waniwani

Waniwani is building the AI distribution infrastructure for the $10T services economy, enabling companies to sell quote-based services directly inside LLMs. They are building the rails for AI-native commerce, with offices in Paris, San Francisco, New York, and remote across Europe.

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