{bc}
Apply
greenhouse

Software Engineer, Data Foundations

Glean
CAN
Mid
USD 180000-300000 / year
Discovered 1 months ago
cplusplusgitjavajirapythonservicenow

Full Job Posting

  • 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.
  • 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.
  • This role is hybrid (4 days a week in either our San Francisco or Mountain View office)

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Glean

Mid-Market Account Executive, East

New York City, USA

Discovered 3 days ago

Enterprise Account Executive, Miami

, USA

Discovered 3 days ago

Machine Learning Engineer, Enterprise Brain

, USA

Discovered 1 weeks agoFull-time

Solutions Engineering Manager

, USA

Discovered 1 weeks agoFull-time

Customer Advocacy Manager

New York City, USA

Discovered 1 weeks ago

Customer Advocacy Manager

New York City, USA

Discovered 1 weeks ago

AI Data Analyst

Bengaluru, IND

Discovered 1 weeks ago

Tech Lead Manager, AI Evaluations

, USA

Discovered 1 weeks agoFull-time