Glean
Software Engineer, Compute Infrastructure
Mountain View, CA
Sponsorship not specified$140k-$220kDetected 88 days ago
Distributed SystemsGitAWSGCPAzureCloud PlatformsKubernetesPlatform EngineeringLLMsAgentic AIIncident ResponseComplianceZendeskMicrosoft Teams
Stay score
odds of building a lasting career here
60Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 100% were for a worker who already held the job.
Green-card intent detected
Glean Technologies, Inc. obtained a prevailing wage determination for Software Developers in Palo Alto, CALIFORNIA on 2026-06-24. No matching green-card filing appears in our data yet. The determination expires in 15 days (2026-09-21), and a green-card filing must follow before then or the employer starts over.
Files H-1B transfers
14 transfer filings in the last year, covering 14 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
Responsibilities
- 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
Requirements
- 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.
- You are pragmatic and execution‑oriented: you can balance ideal architectures with the constraints of a fast‑moving startup and ship iterative improvements.
- Feel free to reference any tools, platforms, or workflows you use today - prior Glean experience isn't required.
Compensation
- 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.
Benefits
- 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.
Company info
- 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.
- We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization.
- 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.
This listing is sourced directly from Glean's careers page and normalized into a canonical job model.