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Jobs→株式会社ラクス→[Open Position] Information Systems / Internal IT Positions (Business Systems, IT Infrastructure) * Company-Wide DX Promotion

[Open Position] Information Systems / Internal IT Positions (Business Systems, IT Infrastructure) * Company-Wide DX PromotionEnglish summary from Japanese

株式会社ラクス

✓ Detailed
Salary
530万円〜1000万円
Location
東京都
Job Type
Full-time
Work Style
9:00~18:00
Apply on GREEN

Role summaryEnglish summary from Japanese

English summary for screening — check the original posting before applying.

This role is for engineers interested in a wide range of Information Systems and Internal IT positions, including Business Systems and IT Infrastructure. The company is currently hiring for multiple positions within these areas and can assign candidates to suitable roles. This is an opportunity to contribute to company-wide DX promotion.

Must-haves

  • Experience in designing, building, and operating IT infrastructure for approximately 3000 users (network/servers).
  • Experience in designing, building, and operating IT infrastructure for new office openings and relocations, including video conferencing systems, internal/external LAN/WAN, and VPN.
  • Experience in designing, building, and operating AI platforms based on accumulated data infrastructure.
  • Experience in designing, developing, and operating data processing pipelines using Google Cloud Platform.
  • Experience in requirements definition, configuration, data migration, and operational flow construction for new CRM/SFA implementation.
  • Experience in proposing and improving operational processes for sales and CS activities, and improving related tools.

Nice-to-haves

About the Company

株式会社ラクス

Categories
MarketplaceAI / MLManufacturing
Headquarters
東京都千代田区紀尾井町3-12 紀尾井町ビル11階
Visit Website
Posted4/10/2026
Updated2026/04/10
Sourcegreen
  • Experience in MLOps/LLMOps for continuous machine learning model operation.
  • Experience in building infrastructure that can handle large data processing and increasing user numbers.
  • Experience in identifying issues, conducting Fit&Gap analysis, and designing add-on development for generative AI.
  • Experience in operational design, effect verification, and strategy formulation for generative AI implementation.
  • Experience in project management for replacement projects, including scope, progress, quality, and risk management, vendor control, and decision support.
  • Experience in collaborating with other teams on infrastructure design, such as AI PaaS/MaaS and PaaS (DWH).
  • Experience in user support and troubleshooting (partial responsibility).
  • Tech stack

    AI PlatformMLOpsLLMOpsGoogle Cloud PlatformCRM/SFAPaaSiPaaSDWHAWSAzureWindows ServerLinux ServerADDNSDHCPSyslogAzure ADZabbixCiscoMerakiFortiGateYAMAHADELLAPRESIA楽楽販売