1 week ago

Senior Cloud Support Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Own customer support cases end-to-end, driving faster time-to-resolution while maintaining platform stability and a world-class support experience. Triage issues using AI-assisted diagnostics to accelerate log review, root-cause analysis, and safe, accurate responses. Troubleshoot with deep SQL and RDBMS knowledge, collaborate cross-functionally to resolve systemic issues, and improve knowledge bases through high-quality documentation and feedback.

Location: Tokyo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Manage customer issues from triage through resolution and follow-up, ensuring clear communication and timely updates.
•Use AI assistants and diagnostics to accelerate triage and root-cause analysis while validating accuracy and safety.
•Perform hands-on troubleshooting using Snowflake environment tools, connectors, and internal tooling to investigate and test fixes.
•Collaborate with Engineering, Product, and Customer Success to resolve systemic issues and support bug reporting and feature requests.
•Maintain operational coverage via on-call and holiday/weekend rotations, and document solutions in knowledge bases.

Key Requirements

•5+ years of customer-facing technical support experience, ideally 24x7.
•Strong AI fluency, including prompt engineering and validating AI outputs before using them.
•Solid technical troubleshooting skills with comfort using SQL and strong knowledge of at least one major RDBMS.
•In-depth SQL knowledge (data types, aggregations, analytical/window functions) plus experience with query lifecycle, profiles, and explain plans.
•Ability to communicate in Japanese (written/verbal) and work a shift schedule from 12:00 PM to 9:00 PM JST.

Skills:Customer empathyWritten communicationVerbal communicationCritical thinkingCross-functional collaboration

Languages:JapaneseEnglish

Tech Stack:AI assistantsPrompt engineeringSQLRDBMSJSONXMLAWSAzureGCPSemi-structured dataKnowledge basesOn-call rotationsIncident management

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

1 week ago

Senior Cloud Support Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Tokyo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Manage customer issues from triage through resolution and follow-up, ensuring clear communication and timely updates.
•Use AI assistants and diagnostics to accelerate triage and root-cause analysis while validating accuracy and safety.
•Perform hands-on troubleshooting using Snowflake environment tools, connectors, and internal tooling to investigate and test fixes.
•Collaborate with Engineering, Product, and Customer Success to resolve systemic issues and support bug reporting and feature requests.
•Maintain operational coverage via on-call and holiday/weekend rotations, and document solutions in knowledge bases.

Key Requirements

•5+ years of customer-facing technical support experience, ideally 24x7.
•Strong AI fluency, including prompt engineering and validating AI outputs before using them.
•Solid technical troubleshooting skills with comfort using SQL and strong knowledge of at least one major RDBMS.
•In-depth SQL knowledge (data types, aggregations, analytical/window functions) plus experience with query lifecycle, profiles, and explain plans.
•Ability to communicate in Japanese (written/verbal) and work a shift schedule from 12:00 PM to 9:00 PM JST.

Skills:Customer empathyWritten communicationVerbal communicationCritical thinkingCross-functional collaboration

Languages:JapaneseEnglish

Tech Stack:AI assistantsPrompt engineeringSQLRDBMSJSONXMLAWSAzureGCPSemi-structured dataKnowledge basesOn-call rotationsIncident management

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn