Position: Cloud Infrastructure Engineer – AI Platform
Company: Confidential AI / Generative AI Solutions Company
Location: Tokyo, Japan (Hybrid / Remote within Japan)
Employment Type: Full-time
Overview
A fast-growing AI enablement company is seeking a Cloud Infrastructure Engineer to support the development and operation of AI-driven platforms and enterprise solutions. The organization works across multiple AI and digital transformation domains, supporting large-scale AI implementation projects for enterprise clients while also developing internal AI products.
This role offers the opportunity to work with modern cloud-native technologies, scalable infrastructure, and generative AI systems in a highly collaborative engineering environment.
Position Summary
The Cloud Infrastructure Engineer will be responsible for designing, building, and operating cloud infrastructure environments supporting AI development projects and SaaS platforms. The role focuses on infrastructure automation, CI/CD optimization, system reliability, and collaboration with engineering and AI teams.
Key Responsibilities
Cloud Infrastructure & Operations
Design, build, and operate cloud environments across AWS, GCP, and Azure
Manage scalable infrastructure for AI and web application systems
Support system reliability, monitoring, and operational stability
Infrastructure Automation
Automate infrastructure deployment using IaC tools such as Terraform and CloudFormation
Improve operational efficiency through automation and standardization
Maintain and optimize CI/CD pipelines
System Optimization & Security
Drive infrastructure performance, security, and cost optimization initiatives
Improve system architecture in collaboration with development teams
Support incident response and operational troubleshooting
Monitoring & Reliability
Establish monitoring and logging frameworks
Support operational maintenance and high-availability environments
Contribute to service reliability and quality improvement initiatives
Qualifications
Required
Minimum 3 years of experience working with Azure environments
Experience with Infrastructure as Code (Terraform, Ansible, or similar tools)
Preferred
Experience operating Linux / UNIX environments
Experience with monitoring and logging tools such as Prometheus, Grafana, or Datadog
Basic networking and security knowledge
Experience in security architecture or infrastructure security design
Experience supporting high-traffic or large-scale systems
Ideal Profile
Strong troubleshooting and problem-solving mindset
Passion for automation and operational efficiency
Strong sense of ownership regarding service reliability and quality
Ability to communicate effectively with both technical and business teams
Technical Environment
Frontend
TypeScript, React
Backend
Python
Database
PostgreSQL, MySQL
Frameworks
Flask
Infrastructure
Azure, AWS, GCP, Docker, Terraform
Working Style & Benefits
Working Hours
Standard hours: 9:00 – 18:00
Flexible working hours available for engineering positions
Hybrid and remote work options available within Japan
Holidays & Leave
Approximately 120 annual holidays
Weekends, national holidays, and year-end holidays
Paid leave and special leave programs
Parental leave and childcare support
Benefits
Family allowance and commuting support
Company-provided devices and office support
Health check programs
Certification and learning support
Access to internal AI tools and learning platforms
Visa and English support available
Insurance
Full social insurance coverage
IT industry health insurance association enrollment
Team & Culture
Collaborative “Give & Give” culture focused on knowledge sharing
Global engineering environment with diverse team members
Strong focus on practical AI implementation and innovation
Opportunity to work alongside highly experienced engineers and AI specialists
Projects & Environment
AI solution development for enterprise clients across industries
AI assistant and automation platform development
Cloud infrastructure supporting AI-driven SaaS products and internal platforms
Exposure to modern AI, infrastructure, and cloud-native technologies
Compensation & Growth
Opportunities to work on cutting-edge AI infrastructure projects
Exposure to large-scale enterprise AI implementations
Potential progression into platform architecture, DevOps leadership, or cloud infrastructure management roles