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Glean

Software Engineer

Mountain View, CA$215k–$278.9kmidAdded today

About this role

Glean is seeking a Software Engineer to build scalable, enterprise-grade AI-powered search and agentic platforms. You'll develop distributed systems, data pipelines, and user-facing features across a Work AI ecosystem serving global enterprise customers.

What you'll do

  • Develop scalable enterprise search platform and distributed systems architecture
  • Build data ingestion pipelines to index content from enterprise data sources
  • Design and implement REST APIs and user interfaces for enterprise search applications
  • Conduct code reviews focusing on interface design, quality, and testing strategies
  • Collaborate with product teams to translate customer requirements into high-quality solutions
  • Optimize system performance using benchmarking and tuning on Linux-based infrastructure

What they're looking for

  • Distributed systems and cloud-native application architecture
  • Go, C++, Java, Python, or TypeScript
  • Full-stack development (frontend, REST APIs, application servers)
  • Algorithmic design and data structure optimization
  • React, Node.js, or web frameworks (Django, Flask, Rails)
  • Data pipelines and information retrieval systems
  • Linux performance tuning and benchmarking
  • Data analytics fundamentals

Benefits

  • Telecommuting available
  • Work on AI-powered enterprise platform used by Fortune 500 companies
  • Access to 100+ enterprise SaaS connectors and flexible LLM options
  • Global team across 25+ countries
  • Impact on innovative agentic AI capabilities
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Glean

Glean builds a Work AI platform that helps enterprises access and leverage their internal data intelligently. The company is hiring backend engineers, infrastructure specialists, fullstack engineers, and billing platform leads to develop scalable features, robust data infrastructure, consumption-based billing systems, and enterprise-grade storage and analytics capabilities.

Website
glean.com
View all jobs at Glean

Likely interview questions

  • Tell us about your experience building distributed systems—what challenges have you faced with scalability and fault tolerance?
  • Describe a time you optimized system performance on Linux. What tools and techniques did you use?