{"schemaVersion":"jobsearcher.job.v1","id":"4ee768467eda0f28ced7bfef","url":"https://jobsearcher.com/jobs/4ee768467eda0f28ced7bfef","canonicalUrl":"https://jobsearcher.com/jobs/4ee768467eda0f28ced7bfef","title":"Software Engineer, Compute Infrastructure","description":"Software Engineer, Compute InfrastructureGlean 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.\r\nYou will:\r\nDesign, 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.\r\nDevelop and evolve Kubernetes-based runtime primitives (e.g., service orchestration, scheduling integrations, autoscaling patterns) across our multi-cloud foundation (GCP, AWS, Azure).\r\nCollaborate 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.\r\nDrive end-to-end improvements in latency, resource utilization, and cost for core platform services, including multitenant runtime environments and experimental AI workloads.\r\nImplement 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).\r\nPartner 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.\r\nParticipate in an on-call rotation for critical platform services, lead incident response when needed, and translate learnings into better reliability, tooling, and documentation.\r\nContribute to technical direction for Runtime Infra: help define roadmaps around multitenancy, autoscaling, capacity/placement, and platformized patterns that reduce per-team hand-holding.\r\nAbout you:\r\nYou 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.\r\nYou have strong distributed systems fundamentals and experience operating high-throughput, low-latency services or batch pipelines in production environments.\r\nYou are comfortable owning systems end-to-end: design, implementation, testing, deployment, observability, and ongoing operations.\r\nYou think in terms of reliability and guardrails: SLOs, incident response, safe deployment strategies, and clear operational runbooks are part of how you build.\r\nYou are pragmatic and execution-oriented: you can balance ideal architectures with the constraints of a fast-moving startup and ship iterative improvements.\r\nYou communicate clearly with both infra and product engineers, and you like collaborating across teams to understand requirements and translate them into platform capabilities.\r\nYou are excited to work in a multi-cloud, multi-tenant environment and to help define best practices for running AI workloads efficiently at scale.\r\nLocation:\r\nThis role is hybrid (4 days a week in our Mountain View office)\r\nCompensation & Benefits: 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. 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. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We're committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.","company":"Colorwave","rawCompany":"colorwave","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T01:40:36.467Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Compute Infrastructure","description":"Software Engineer, Compute InfrastructureGlean 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.\r\nYou will:\r\nDesign, 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.\r\nDevelop and evolve Kubernetes-based runtime primitives (e.g., service orchestration, scheduling integrations, autoscaling patterns) across our multi-cloud foundation (GCP, AWS, Azure).\r\nCollaborate 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.\r\nDrive end-to-end improvements in latency, resource utilization, and cost for core platform services, including multitenant runtime environments and experimental AI workloads.\r\nImplement 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).\r\nPartner 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.\r\nParticipate in an on-call rotation for critical platform services, lead incident response when needed, and translate learnings into better reliability, tooling, and documentation.\r\nContribute to technical direction for Runtime Infra: help define roadmaps around multitenancy, autoscaling, capacity/placement, and platformized patterns that reduce per-team hand-holding.\r\nAbout you:\r\nYou 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.\r\nYou have strong distributed systems fundamentals and experience operating high-throughput, low-latency services or batch pipelines in production environments.\r\nYou are comfortable owning systems end-to-end: design, implementation, testing, deployment, observability, and ongoing operations.\r\nYou think in terms of reliability and guardrails: SLOs, incident response, safe deployment strategies, and clear operational runbooks are part of how you build.\r\nYou are pragmatic and execution-oriented: you can balance ideal architectures with the constraints of a fast-moving startup and ship iterative improvements.\r\nYou communicate clearly with both infra and product engineers, and you like collaborating across teams to understand requirements and translate them into platform capabilities.\r\nYou are excited to work in a multi-cloud, multi-tenant environment and to help define best practices for running AI workloads efficiently at scale.\r\nLocation:\r\nThis role is hybrid (4 days a week in our Mountain View office)\r\nCompensation & Benefits: 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. 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. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We're committed to building and sustaining a diverse, inclusive workplace. We strive to attract and retain people with a wide range of backgrounds, experiences, and perspectives, and we do not discriminate on the basis of gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.","datePosted":"2026-08-07T01:40:36.467Z","dateModified":"2026-08-07T01:40:36.467Z","hiringOrganization":{"@type":"Organization","name":"Colorwave","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4ee768467eda0f28ced7bfef"},"url":"https://jobsearcher.com/jobs/4ee768467eda0f28ced7bfef"}}