Software Engineer, Data Foundations

Glean

San Francisco, CA, United States
On-site
3+ years backend or data infrastructure experience
Distributed systems and large-scale storage expertise
Experience with saas connectors and api integrations
This role involves building and scaling connectors to a wide variety of SaaS and on-prem systems to power Glean's Work AI ecosystem

Job Summary

  • This role involves building and scaling connectors to a wide variety of SaaS and on-prem systems to power Glean's Work AI ecosystem.
  • The engineer will handle full syncs, low-latency incremental updates, and complex authentication flows across thousands of enterprise apps.
  • You will own end-to-end correctness, freshness, and performance for petabyte-scale data flows while preserving fine-grained access controls.

Matching Summary

This role involves building and scaling connectors to a wide variety of SaaS and on-prem systems to power Glean's Work AI ecosystem.

Skills & Requirements

Must-have

  • 3+ years backend or data infrastructure experience
  • Distributed systems and large-scale storage expertise
  • Experience with SaaS connectors and API integrations
  • Knowledge of SQL/NoSQL databases and queues
  • Understanding of SLOs and error budgeting

Nice-to-have

  • Prior work on enterprise connectors or search indexing
  • Experience with permission modeling and ACLs
  • Passion for making AI trustworthy
  • Power user of LLMs and AI tools
  • Experience with idempotency and exactly-once processing

Key Requirements

  • 3+ years building production backend or data infrastructure systems
  • Hands-on experience with distributed systems and data pipelines
  • Comfortable with strict consistency and permission-modeling challenges

Work Rights

Not specified

Tailored Resume

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