Software Engineer, Glean
Compute Infrastructure
$140-220k
4 days a week in office (Mountain View, CA)
AI-based search engine connecting enterprise data
Posted today
AI-based search engine connecting enterprise data
1001+ employees
Posted today
$140-220k
4 days a week in office (Mountain View, CA)
1001+ employees
Company mission
To expand human potential to do extraordinary work.
Role
Who you are
- You are a backend/platform engineer who enjoys working close to the metal—where application behavior, infrastructure, and cost all intersect—and you are motivated by building shared systems that many teams depend on
- You have strong distributed systems fundamentals and experience operating high‑throughput, low‑latency services or batch pipelines in production environments
- You are comfortable owning systems end‑to‑end: 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 execution‑oriented: you can balance ideal architectures with the constraints of a fast‑moving 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 multi‑cloud, multi‑tenant environment and to help define best practices for running AI workloads efficiently at scale
What the job involves
- If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, 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 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 cost‑efficient, low‑latency execution for production services and pipelines that serve our customers at scale
- 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
- Develop and evolve Kubernetes‑based runtime primitives (e.g., service orchestration, scheduling integrations, autoscaling patterns) across our multi‑cloud 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 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)
- 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 on‑call 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 per‑team hand‑holding
Our take
Glean is an intuitive digital assistant which allows employees to search across all their apps and find the information and tools that they need more quickly.
With so many SaaS apps being used by modern day companies, overwhelm and inefficiency inevitably enter the equation. Glean’s search engine is proving popular for how it unifies and centralizes all these distributed tools and data.
It’s been quite a start to life at Glean, having emerged from stealth in 2021, it received a $1B valuation in early 2022, thus achieving unicorn status. Since then, the company has gone on to raise substantial funding and bring its valuation up to $7.2B in 2025. With this impressive growth, its secured some big name customers like Grammarly, databricks, and Rubrik.
That Glean was co-founded by a quartet with senior experience at Google, Microsoft, Uber, and Facebook stands the company in good stead. However, it’s the fact that its search engine is solving a new, but very real problem in the workplace that’s seen its popularity surge so quickly, which it’s likely to continue to do in the future. And its adaptability to include new AI capabilities to its platform, such as generative AI, has Glean well set to see further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2025
$150m
SERIES F
Sep 2024
$260m
SERIES E
Total funding: $805m
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Arvind Jain
(Co-Founder & CEO)Former Engineer at Google and Microsoft. Arvind is also the co-founder of high growth startup Rubrik, which delivers data security and operational resilience for enterprises.
TR Vishwanath
(Co-Founder & CTO)Before co-founding Glean, TR was a Principal Software Engineer at Facebook after spending eight years at Microsoft as a Software Design Engineer, then Principal Development Lead.
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