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Cloud Infrastructure Engineer (Generative AI & Data Infrastructure)

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Designs and engineers cloud infrastructure for in-house Generative AI products, focusing on data infrastructure and modern tech stacks like Snowflake and GCP. Responsibilities include managing cloud environments (AWS, GCP, Azure), CI/CD pipelines, and ensuring reliability. Requires expertise in IaC (Terraform), CI/CD tools, and team collaboration in a fintech environment.

Key Highlights
Hybrid work model with in-house development
Annual salary range: 6 million to 10 million yen
Fintech company focused on embedded finance and AI-driven financial services
Key Responsibilities
Design and manage cloud infrastructure in AWS, GCP, and Azure environments
Lead deployment projects into customer cloud environments with customer communication
Design and implement CI/CD pipelines for automated code builds, testing, and deployment
Technical Skills Required
AWS Terraform CI/CD Pipelines
Benefits & Perks
Two-day weekend system (Saturdays, Sundays, and national holidays)
Paid leave, consecutive leave, year-end/New Year holidays
Housing allowance, dependent allowance, commuting allowance (up to 150,000 yen/month)
Company-provided computer, partial subsidy for health checkups
Visa support
Employee stock ownership plan with 50% incentive
Nice to Have
Experience leading teams and managing within a development organization
Experience operating LLM products using ChatGPT, Claude, and similar tools
Experience developing and operating front-end and back-end web applications

Job Description

■Overview

  • Designing and engineering infrastructure for in-house Generative AI products.
  • Building and maintaining robust data infrastructure utilizing modern tech stacks such as Snowflake and Google Cloud Platform (GCP).
  • Developing, implementing, and deploying enterprise-grade package solutions powered by Generative AI.

■Responsibilities

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