Software Engineer, Data Foundations

You will work on:

Ingestion & Connectivity

• Build and scale connectors to 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.

Data Processing & Modeling

• 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 AI products through deep integrations for task automation, complex queries, and live data enhancement.

Reliability & Distributed Systems

• Own end-to-end correctness, freshness, and performance for petabyte-scale data flows.
• Solve problems in ordering, idempotency, exactly-once processing, backpressure, and retries across distributed queues, workers, and storage.

Security & Permissions

• Preserve fine-grained ACLs, deletions, and sensitivity constraints so AI answers are grounded in user permissions.

Cross-Functional Impact

• Partner with Search Serving, Product, Platforms, and Security teams to define enterprise context exposure to LLMs and agents.
• Improve observability, alerting, and automation for larger customers and data sources.

About you:

• 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).
• Think in SLOs, error budgets, failure modes, and correctness guarantees.
• 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 trustworthy AI via rock-solid data foundations.
• Power user of LLMs and AI tools.

Compensation & Benefits

Base salary range: $140,000 - $265,000 annually (varies by location, level, knowledge, skills, experience). Eligible for variable compensation, equity, and benefits including medical, vision, dental, time-off, 401k, stipends, events, and daily lunches.