Software Engineer, Data Foundations

Job summary

Responsibilities

We are looking for a Software Engineer to join Glean’s Data Foundations team — the group that owns the end-to-end data ingestion and management layer powering Glean’s Search, AI Assistant, and Agent products across thousands of enterprise apps and billions of documents.

• Build and scale connectors to a wide variety of SaaS and on-prem systems (Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow, GitHub, etc.).
• Handle full syncs, low-latency incremental updates via webhooks/APIs, rate-limiting, and complex authentication flows.
• Build advanced capabilities in datasources like actions, live-fetch, and query language support.
• Transform raw, unstructured enterprise content into rich, structured, permission-aware representations optimized for search and LLM reasoning.
• Design document schemas and enrichment pipelines (entity extraction, access-graph propagation, redactions, etc.).

What they're looking for

• 3+ years building production backend or data infrastructure systems (Java, Go, C++, Python, etc.).
• Hands-on experience with distributed systems, data pipelines, queues, and large-scale storage (SQL/NoSQL).
• You think in SLOs, error budgets, failure modes, and correctness guarantees — not just features.
• Comfortable with strict consistency and permission-modeling challenges.
• Prior work on enterprise connectors, search/indexing, information retrieval, or security-sensitive systems is a strong plus.

Tech stack

• Java
• Go
• C++
• Python
• SQL