{"schemaVersion":"jobsearcher.job.v1","id":"8a7822acdaaa30c1485a63a4","url":"https://jobsearcher.com/jobs/8a7822acdaaa30c1485a63a4","canonicalUrl":"https://jobsearcher.com/jobs/8a7822acdaaa30c1485a63a4","title":"Cloud Support Engineer","description":"OverviewIn this role you help accelerate customer time-to-resolution by combining deep technical troubleshooting with AI-first tooling. You will operate as a full-stack support resource, balancing hands-on analysis with clear, empathetic communication. You'll leverage AI to triage, diagnose, and craft guidance, while ensuring reliability and safe, accurate outcomes. This role offers cross-functional collaboration to resolve systemic issues and shape knowledge resources for faster support.ResponsibilitiesOwn the customer experience from triage to resolution and follow-upLeverage AI-assisted diagnostics to speed triage and root-cause analysis with safety in mindDeliver outcome-based support by fixing issues, reducing recurrence, and improving reliabilityCommunicate technical analysis via email, web, and phone tailored to customer expertiseUse AI to summarize logs, generate hypotheses, and draft responses with validationUtilize Snowflake environment, connectors, and internal tools to investigate and test solutionsCollaborate with Engineering, Product, and Customer Success to resolve systemic issuesDocument solutions in knowledge bases and refine AI-assisted draftsProvide feedback on product behavior, documentation gaps, and AI tool performanceReport bugs and feature requests with engineering teamsSupport holiday/weekend rotations and on-call requirementsKey requirementsBS/MS in Computer Science or equivalent experience2+ years in technical support (customer-facing, ideally 24x7)Strong AI fluency including prompt engineering and critical validation of outputsExperience with AI-powered tooling and modern support environmentsSolid technical troubleshooting including SQL, log analysis, and scripting (Python, APIs)Strong written/verbal English communicationBasic understanding of Windows and LinuxBasic understanding of Data Warehousing fundamentals and SQL queriesFamiliarity with end-to-end ML pipelines, prompt engineering, Langchain, vector databases, Hugging Face modelsFamiliarity with RESTful APIs and web servicescustomer empathyclear communicationcollaborationSQLlog analysisPython","company":"Snowflake","rawCompany":"snowflake","city":"Oakland","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-26T13:33:04.678Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Cloud Support Engineer","description":"OverviewIn this role you help accelerate customer time-to-resolution by combining deep technical troubleshooting with AI-first tooling. You will operate as a full-stack support resource, balancing hands-on analysis with clear, empathetic communication. You'll leverage AI to triage, diagnose, and craft guidance, while ensuring reliability and safe, accurate outcomes. This role offers cross-functional collaboration to resolve systemic issues and shape knowledge resources for faster support.ResponsibilitiesOwn the customer experience from triage to resolution and follow-upLeverage AI-assisted diagnostics to speed triage and root-cause analysis with safety in mindDeliver outcome-based support by fixing issues, reducing recurrence, and improving reliabilityCommunicate technical analysis via email, web, and phone tailored to customer expertiseUse AI to summarize logs, generate hypotheses, and draft responses with validationUtilize Snowflake environment, connectors, and internal tools to investigate and test solutionsCollaborate with Engineering, Product, and Customer Success to resolve systemic issuesDocument solutions in knowledge bases and refine AI-assisted draftsProvide feedback on product behavior, documentation gaps, and AI tool performanceReport bugs and feature requests with engineering teamsSupport holiday/weekend rotations and on-call requirementsKey requirementsBS/MS in Computer Science or equivalent experience2+ years in technical support (customer-facing, ideally 24x7)Strong AI fluency including prompt engineering and critical validation of outputsExperience with AI-powered tooling and modern support environmentsSolid technical troubleshooting including SQL, log analysis, and scripting (Python, APIs)Strong written/verbal English communicationBasic understanding of Windows and LinuxBasic understanding of Data Warehousing fundamentals and SQL queriesFamiliarity with end-to-end ML pipelines, prompt engineering, Langchain, vector databases, Hugging Face modelsFamiliarity with RESTful APIs and web servicescustomer empathyclear communicationcollaborationSQLlog analysisPython","datePosted":"2026-10-26T13:33:04.678Z","dateModified":"2026-10-26T13:33:04.678Z","hiringOrganization":{"@type":"Organization","name":"Snowflake","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakland","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8a7822acdaaa30c1485a63a4"},"url":"https://jobsearcher.com/jobs/8a7822acdaaa30c1485a63a4"}}