Build a system that captures diagnostic reasoning from network engineers for model training.
Create a structured, queryable record of network telemetry and notices.
Ship the annotation interface enabling engineers to log diagnostics.
Collaborate with ML researchers to improve training data.
Ingest telemetry from ClickHouse, Postgres configs, and Salesforce history.
Own end-to-end tooling to help network teams build autonomous networks.

🎯 Requirements

Experience building backend systems end-to-end.
Strong architectural decisions about data storage.
Customer empathy and focus on tool adoption.
Ability to learn how network engineers think and work.
Proficiency with TypeScript, React, Go, GraphQL, Kafka, PostgreSQL.
Familiarity with data sources like ClickHouse, Postgres, Salesforce.

🎁 Benefits

Hybrid work arrangement.
Collaborate with ML researchers and leadership.
Opportunity to impact autonomous networks.

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