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Software Engineer, Compute Infrastructure
Job Location:
Job Location:
Mountain View, CA - USA
Yearly Salary:
$ 140000 - 220000
Yearly Salary:
Posted:
10 June 2026 (30+ days ago)
Posted:
Application Deadline:
7 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industrys 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 Gleans agentic capabilities - AI agents that automate real work across teams by accessing the industrys 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 Worlds Most Innovative Companies (Top 10 2025) by CNBCs Disruptor 50 Bloombergs AI Startups to Watch (2026) Forbes AI 50 and Gartners Tech Innovators in Agentic AI Glean continues to accelerate its global impact. With customers across 50 industries and 1000 employees in more than 25 countries were helping the worlds largest organizations make every employee AI-fluent and turning the superintelligent enterprise from concept into reality.
If youre excited to shape how the world works youll help build systems used daily across Microsoft Teams Zoom ServiceNow Zendesk GitHub and many more - deeply embedded where people get things done. Youll 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.
About the Role:
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. Sitting within the Platforms organization this role focuses on Kubernetes-based runtime systems multi-cloud infrastructure and costefficient lowlatency execution for production services and pipelines that serve our customers at scale.
You will:
- Design build and own backend/platform services that power Gleans runtime infrastructure with a focus on reliability scalability and performance for AI and search workloads.
- Develop and evolve Kubernetesbased runtime primitives (e.g. service orchestration scheduling integrations autoscaling patterns) across our multicloud foundation (GCP AWS Azure).
- 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 endtoend improvements in latency resource utilization and cost for core platform services including multitenant runtime environments and experimental AI workloads.
- Implement and harden infrastructureascode patterns observability and guardrails so teams can confidently ship and run services in production (e.g. SLOs dashboards alerts safe rollout/rollback).
- 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.
- Participate in an oncall rotation for critical platform services lead incident response when needed and translate learnings into better reliability tooling and documentation.
- Contribute to technical direction for Runtime Infra: help define roadmaps around multitenancy autoscaling capacity/placement and platformized patterns that reduce perteam handholding.
About you:
- You are a backend/platform engineer who enjoys working close to the metalwhere application behavior infrastructure and cost all intersectand you are motivated by building shared systems that many teams depend on.
- You have strong distributed systems fundamentals and experience operating highthroughput lowlatency services or batch pipelines in production environments.
- You are comfortable owning systems endtoend: design implementation testing deployment observability and ongoing operations.
- You think in terms of reliability and guardrails: SLOs incident response safe deployment strategies and clear operational runbooks are part of how you build.
- You are pragmatic and executionoriented: you can balance ideal architectures with the constraints of a fastmoving startup and ship iterative improvements.
- You communicate clearly with both infra and product engineers and you like collaborating across teams to understand requirements and translate them into platform capabilities.
- You are excited to work in a multicloud multitenant environment and to help define best practices for running AI workloads efficiently at scale.
Location:
- This role is hybrid (4 days a week in our Mountain View office)
Compensation & Benefits:
The standard base salary range for this position is $140000 - $220000 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.
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 youll receive a home office improvement stipend as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. Were committed to an inclusive and diverse company. We do not discriminate based on gender ethnicity sexual orientation religion civil or family status age disability or race.
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AI-First Mindset at Glean:
At Glean AI fluency is core to how we work and were committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process youll 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. Feel free to reference any tools platforms or workflows you use today prior Glean experience isnt required.
Global Data Privacy Notice for Job Candidates and Applicants:
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 applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available in our . By submitting your application you are agreeing to our use and processing of your data as applicants and their applications are subject to arbitration of disputes as outlined in our Applicant Arbitration Agreement.
By clicking Submit Application I confirm that I have read the Global Data Privacy Notice and the Applicant Arbitration Agreement and I agree to the terms.
Required Experience:
IC
About Company
Glean was created to deliver healthy and fresh foods - made directly from fruits and vegetables - into your hands! Sweet Potato Flour & Pumpkin Flour now available. Our team is made up of a handful of passionate people who have worked in food and agriculture most of their careers - ... View more
