Software Engineer, Compute Infrastructure

Glean
Mountain View
Workplace: HybridFull time140,000 - 220,000 annuallyFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving","Ownership","Teamwork"]

Design, build, and operate the core compute and runtime platform powering AI search, assistant, and agentic workloads. Focus on Kubernetes-based runtime systems, multi-cloud infrastructure (GCP, AWS, Azure), and cost-efficient, low-latency execution for production services and pipelines at scale. Collaborate with platform, data, and product teams to enable safe service deployments and reliable operations.

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Glean
Glean
1 month ago

Software Engineer, Compute Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design, build, and operate the core compute and runtime platform powering AI search, assistant, and agentic workloads. Focus on Kubernetes-based runtime systems, multi-cloud infrastructure (GCP, AWS, Azure), and cost-efficient, low-latency execution for production services and pipelines at scale. Collaborate with platform, data, and product teams to enable safe service deployments and reliable operations.
Location: Mountain View
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key 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.
  • •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).

Pay and Benefits

Salary: 140,000 - 220,000 annually
Perks:Health InsuranceVisionDental401kHome OfficeEducation StipendWellness Stipend

Key Requirements

  • •Strong distributed systems fundamentals and experience operating high-throughput, low-latency services or batch pipelines in production environments.
Experience:Enterprise softwareAISaaSCloudKubernetes
Skills:CommunicationCollaborationProblem-solvingOwnershipTeamwork
Languages:English
Tech Stack:KubernetesGCPAWSAzureInfrastructure as codeObservability

Company Brief

Glean
Provides an enterprise search and knowledge discovery platform that helps organizations find information across apps, drives, and internal tools, improving employee productivity and onboarding through AI-powered search and relevance ranking.
Industry: Enterprise Software
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: San Francisco, United States
Founded: 2017
WebsiteLinkedIn