★Cloud Infrastructure Engineer (Data Infrastructure & Generative AI) | Fin-tech Company
- Business Level Japanese Required
◆ Hybrid Work
◆ In-house Development
◆ Global Environment
◆ Annual Salary： 6 million ～ 10 million yen.
-------------【About the company】-------------
The company operates at the intersection of finance and technology, leveraging high-level data expertise to redefine financial services.
■About the Group
The group is a forward-thinking Fintech conglomerate enabling "Embedded Finance" through the provision of financial core systems designed for the future integration of AI agent functionalities. By driving Digital Transformation (DX) within the financial sector and lowering entry barriers for non-financial companies, the group aims to create a world where financial services are more seamlessly integrated into everyday life.
With a portfolio of specialized operating companies, the group offers diverse opportunities to engage in various innovative businesses:
・Financial Service Development: Redefining the ideal state of financial services from a user-centric perspective and co-creating new services with partner businesses.
・Alternative Data Analytics: Providing advanced insights through a specialized data analysis firm.
・Securities Business Platforms: Delivering the underlying infrastructure for modern brokerage and trading services.
・Next-Generation Digital Insurance: Offering cutting-edge, tech-driven insurance solutions.
-------------【 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
・Design, implementation, and management of infrastructure in public cloud environments such as AWS
・Leading projects to deploy products into customer cloud environments while communicating with customers
・Designing and implementing CI/CD pipelines for automated code builds, testing, and deployment
・Developing software and establishing infrastructure operations processes to improve reliability and availability
・Identifying single points of failure and other high-risk architectural issues, and proposing and implementing solutions
■Position Highlights
・End-to-End Lifecycle Involvement: Engage across all software lifecycle stages—from cloud infrastructure design to post-release monitoring and operations—building deep expertise in cloud architectures.
・Cutting-Edge Tech Opportunities: Work directly on Generative AI products and tackle unsolved technical challenges to accelerate your growth as an engineer.
・Broad Technical Scope: Expand your skill set beyond infrastructure by taking on cross-functional development opportunities in front-end, data engineering, and more, aligned with your career goals.
【Tech Stack】
Python, Airflow, Snowflake, Terraform, AWS, GCP, Azure, OpenAI
-------------【 Requirements】-------------
■Required
・Experience developing and operating web application infrastructure using public clouds such as AWS, GCP, and Azure
・Experience developing and operating infrastructure using Infrastructure as Code (IaC) tools such as Terraform
・Experience building and monitoring monitoring infrastructure, as well as operating development, staging, and production environments
・Experience setting up CI/CD tools such as CircleCI
・Experience working in a team of 5 or more people
■Preferred
・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
・Experience designing, developing, and operating MySQL or PostgreSQL
・Code management using Git and GitHub
・Experience building and operating log analysis infrastructure
■Ideal Applicants
・Customer-Centric Mindset: Continually considers customer needs and works backward to prioritize development tasks accordingly.
・Product Growth Ownership: Takes personal ownership of product growth, remaining passionate about delivering value to customers while stepping beyond designated roles to drive product success.
・Collaborative Leadership: Drives problem-solving by rallying team members rather than working in isolation, prioritizing collective team achievements over individual success.
・Intellectual Curiosity & Fast Learning: Demonstrates a strong appetite for continuous learning across engineering domains and product capabilities, actively applying new knowledge to daily operations.
・Grit & Attention to Detail: Delivers clean data and actionable insights by maintaining meticulous attention to detail and consistently executing hands-on work.
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【Holidays】
・Two-day weekend system (Saturdays, Sundays, and national holidays)
・Paid leave (Granted upon joining based on the number of days corresponding to the month of hire)
・Consecutive leave (Up to 5 consecutive days of leave, separate from annual paid leave)
・Year-end and New Year holidays (December 30–January 3)
・Special leave for family events
・Special leave
【Welfare】
・Marriage leave & congratulatory bonus
・Maternity leave & congratulatory bonus
・Support for life events
・Housing allowance
・Dependent allowance
・Discount vouchers for babysitting services
・Childcare assistance for sick children
・Off-site work support program
・Support for purchasing learning and work tools
・English conversation lessons available to interested employees
・Tuition assistance (for graduate school and other programs)
・Company-wide adoption of generative AI to drive operational efficiency and value creation
・Full social insurance coverage
・Commuting allowance (up to 150,000 yen per month)
・Company-provided computer
・Partial subsidy for optional health checkups
・Employee stock ownership plan with a 50% incentive
・1-yen stock options
・Visa support
・Smoking prohibited indoors
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