Software Engineer, Data Foundations
Glean· Engineering
Hybrid (Mountain View, CA)$180k - $300kFull-timePosted 10mo ago
About the role
Software Engineer role on Glean’s Data Foundations team, owning 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.
Responsibilities
- 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.).
- Expand the capabilities of AI products through deep integrations that allow us to automate tasks, perform complex queries grounded in enterprise data, and enhance our indexed corpus with live data.
- Own end-to-end correctness, freshness, and performance for petabyte-scale data flows.
- Solve hard problems in ordering, idempotency, exactly-once processing, backpressure, and retries across distributed queues, workers, and storage.
- Preserve fine-grained ACLs, deletions, and sensitivity constraints so AI answers are always grounded in what users are actually allowed to see.
- Partner closely with Search Serving, Product, Platforms, and Security teams to define how enterprise context is exposed to LLMs and agents.
- Continuously improve observability, alerting, and automation to onboard larger customers and more data sources with confidence.
Qualifications
- 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.
- Passionate about making AI trustworthy by building the rock-solid data foundation underneath it.
- Power user of LLMs and AI tools in your own workflow.
Skills
Required:Backend developmentDistributed systemsSLOs and error budgets
Benefits
- Medical, Vision, and Dental coverage
- generous time-off policy
- 401k plan
- home office improvement stipend
- annual education and wellness stipends
- regular company events
- daily healthy lunches
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Glean
Work AI that Works | Agents, Assistant & Search
Glean is the Work AI platform connected to your enterprise's data. Find, create, and automate anything. Explore what Work AI can do for you!
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