Senior Software Engineer - Enterprise Data

What you'll do

• Own sensitive-information detection and remediation, including ML classification, workflows, and reporting.
• Roll out governed access across enterprise systems, implementing export-control enforcement, audit logging, and access controls.
• Integrate enterprise content into the AI knowledge platform and lead architecture, delivery, reviews, and mentorship.

What they ask for

• Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• 8+ years of experience building and operating large-scale enterprise platforms, with growth in technical scope and ownership.
• Strong foundation in backend systems, distributed systems, and data engineering, including large-scale processing, indexing, reliability, and scale.
• Experience with enterprise data connectors or SaaS integrations, and training and evaluating ML models for classification tasks.

Nice to have

• Familiarity with enterprise security or compliance access controls, remediation, and audit requirements; AI/LLM data pipelines, vector stores, or RAG with access-control fidelity.
• Hands-on Databricks experience for audit logging and RBAC, or familiarity with Glean or similar enterprise search/DLP products.

Pay

168,000 USD - 270,250 USD base salary (Level 4); 200,000 USD - 322,000 USD base salary (Level 5)

Tools

Outlook, Teams, Slack, Confluence, OneDrive, SharePoint, Google Drive, Glean

AI focus

Integrate and govern enterprise knowledge for AI agents, and evaluate ML classification approaches to detect sensitive content.