Glean

Software Engineer, Compute Infrastructure

Mountain View, CA

Sponsorship not specified$140k-$220kDetected 42 days ago

Distributed SystemsGitAWSGCPAzureCloud PlatformsKubernetesPlatform EngineeringLLMsAgentic AIIncident ResponseComplianceZendeskMicrosoft Teams

About the role

Sitting within the Platforms organization, this role focuses on Kubernetes-based runtime systems, multi-cloud infrastructure, and cost‑efficient, low‑latency execution for production services and pipelines that serve our customers at scale.
Contribute to technical direction for Runtime Infra: help define roadmaps around multitenancy, autoscaling, capacity/placement, and platformized patterns that reduce per‑team hand‑holding.

Design, build, and own backend/platform services that power Glean's runtime infrastructure, with a focus on reliability, scalability, and performance for AI and search workloads.
Collaborate with platform, data, and product engineering teams to make it easy and safe to spin up new services and batch workloads, with clear golden paths for deployment, configuration, and runtime operations.
Drive end‑to‑end improvements in latency, resource utilization, and cost for core platform services, including multitenant runtime environments and experimental AI workloads.
Implement and harden infrastructure‑as‑code patterns, observability, and guardrails so teams can confidently ship and run services in production (e.g., SLOs, dashboards, alerts, safe rollout/rollback).
As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role.
Depending on your location, the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), or other privacy laws may regulate the way we manage the data of job

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.
You have strong distributed systems fundamentals and experience operating high‑throughput, low‑latency services or batch pipelines in production environments.
Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
You are pragmatic and execution‑oriented: you can balance ideal architectures with the constraints of a fast‑moving startup and ship iterative improvements.

Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals.
When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
The standard base salary range for this position is $140,000 - $220,000 annually.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Certain roles may be eligible for variable compensation, equity, and benefits.
When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

Glean is seeking a Software Engineer, Compute Infrastructure to help design, build, and operate the core compute and runtime platform that powers our AI search, assistant, and agentic workloads.
Partner with the Costs and Runtime teams to build shared mechanisms for attribution, guardrails, and automation that keep our runtime layer efficient as we 5x customers and traffic.
You think in terms of reliability and guardrails: SLOs, incident response, safe deployment strategies, and clear operational runbooks are part of how you build.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization.

This listing is sourced directly from Glean's careers page and normalized into a canonical job model.