Software Engineer, Platform

About Glean

Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full‑scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business – without vendor lock‑in or costly implementation cycles.

At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context‑aware responses for every employee. This foundation powers Glean’s agentic capabilities – AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real‑time.

The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.

Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50 industries and 1,000 employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI‑fluent, and turning the superintelligent enterprise from concept into reality.

If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, Service Now, Zendesk, Git Hub, and many more – deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.

Glean is seeking an Infrastructure Engineer to build and evolve the platform that powers a highly available, performant, secure and cost‑effective infrastructure across all clouds. You’ll deliver complex components with elegant automation, robust uptime guarantees, autoscaling, and reliable alerting/monitoring for infrastructure that runs across multiple cloud providers. As part of the Platform team, you’ll be responsible for critical pieces of Glean’s infrastructure, working closely with several other teams to support their workloads.

• Oversee the entirety of your greenfield features from inception to implementation, experimentation, launch and beyond
• Provide leadership and mentor more junior engineers
• Work with designers, product managers, data scientists, and other engineers to understand our problem space and create elegant solutions
• Write robust code that’s efficient, easy to read, maintain and test

• Bachelor’s degree (or equivalent) in Computer Science or related field
• 3 years of experience in a role working with AWS and/or GCP IaaS services eg. compute, object storage, iam, networking, vpc.
• Experience with Terraform, K8s (GKE/EKS), Data Pipelines (Beam/Flink/Kafka/Pub Sub/SQS), ML Pipelines, Object Storage (S3/GCS), Big Query, etc. is a plus.
• Experience managing large scale cloud infrastructure with IaC.
• Highly proficient with modern Unix/Linux operating systems/distributions
• Experience defining SLOs/SLIs and implementing monitoring, alerting, and runbooks.
• Adaptable. Goals can change fast. You anticipate and react quickly.
• Autonomous. You own what you work on. You move fast and get things done.
• Excellent communication. You will need to communicate complex ideas effectively to both technical and non‑technical audiences, and both verbally and in writing.
• Collaborative. You must work collaboratively in a cross‑functional team and with people at all levels in an organization.

• This role is hybrid (3‑4 days a week in one of our SF Bay Area offices)

The standard base salary range for this position is $140,000 – $265,000…