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In this role, you will work closely with engineering teams, data scientists, and business stakeholders to design solution architectures, evaluate technologies, and improve automation capabilities while ensuring scalability, maintainability, reliability, and cost efficiency.
The successful candidate will contribute to cloud architecture design, DevOps best practices, infrastructure automation, and AI-enabled workflows. You will also help evaluate emerging technologies and support the adoption of practical AI solutions that improve engineering productivity and operational effectiveness.
A Tokyo Stock Exchange Prime-listed technology company, certified as a “White 500” Health & Productivity Management Organization. The company develops and operates a wide range of digital services across Healthcare, Public Sector DX, Education DX, Fintech, Digital Content, and Enterprise Solutions.
Leveraging decades of experience in mobile services, UI/UX design, and large-scale cloud platforms, the company delivers products and solutions that address real-world social challenges while serving millions of users nationwide.
Strong focus on Work-Life Balance
Full remote work available from anywhere in Japan
Employees may work remotely from overseas for up to 6 months per year
Flex-time system with no core hours
Tokyo Stock Exchange Prime-listed company
White 500 Health & Productivity certification
International and multicultural work environment
Frequent collaboration with global teams and overseas business units
Opportunities for international business travel and cross-border projects
The company operates a global engineering organization with development teams distributed across Japan and Southeast Asia. Engineering, product, and business teams collaborate daily in English and Japanese to deliver large-scale cloud platforms, AI-powered solutions, digital transformation initiatives, and enterprise systems for both domestic and international markets.
The overseas development organization has received multiple industry recognitions for engineering excellence and workplace culture, and serves as a strategic technology hub supporting innovation, product development, and next-generation AI initiatives.
This environment provides engineers and architects with the opportunity to work in multicultural teams, gain international exposure, and participate in cutting-edge projects involving cloud computing, AI, automation, digital transformation, and large-scale platform development.
Support teams in designing and reviewing AI and cloud-based solution architectures
Design scalable, secure, maintainable, and cost-effective systems aligned with business requirements
Define and review non-functional requirements including performance, reliability, security, observability, and cost optimization
Provide technical guidance on system architecture, integration patterns, cloud services, and deployment strategies
Review architectural decisions and identify opportunities for improvement
Guide engineering teams in utilizing cloud platforms such as AWS, GCP, and Azure
Support infrastructure design, deployment strategies, and production readiness activities
Promote infrastructure best practices including automation, consistency, maintainability, and operational excellence
Support cloud resource optimization and infrastructure cost management
Contribute to cloud governance and operational standards
Design and improve CI/CD pipelines and deployment processes
Drive automation across build, testing, deployment, monitoring, and operational workflows
Define and implement Infrastructure as Code (IaC) approaches
Improve engineering productivity through repeatable and reliable automation patterns
Promote DevOps best practices across engineering teams
Support the design, deployment, and maintenance of AI-powered solutions
Evaluate tools, frameworks, and technologies related to AI applications and agent-based automation
Collaborate with teams to introduce practical AI-assisted workflows where business value can be achieved
Research and validate emerging AI technologies, models, and approaches before wider adoption
Contribute to AI-driven process improvement initiatives
Act as a technical advisor across multiple teams and projects
Clearly communicate architectural decisions to both technical and non-technical stakeholders
Create and maintain architecture documentation, standards, templates, and reference architectures
Help teams balance delivery speed, technical quality, operational stability, and cost efficiency
Support engineering excellence initiatives across the organization
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure)
Strong experience with automation, CI/CD pipelines, and Infrastructure as Code
Experience designing solution architectures and providing technical leadership for complex systems
Ability to communicate technical concepts effectively to both engineering teams and business stakeholders
Ability to evaluate trade-offs involving architecture, cost, scalability, reliability, maintainability, and operational complexity
Experience conducting structured technical research and evaluating new technologies
Business-level English communication skills
Business-level Japanese communication skills
Strong AWS experience
Experience designing, deploying, and maintaining AI-based solutions
Experience with agent-based systems, workflow orchestration, or AI-driven automation
Experience with Kubernetes, containers, and cloud-native architectures
Experience designing observability, monitoring, and operational support patterns
Experience supporting multiple engineering teams or serving as a cross-functional technical advisor
Experience defining technical standards, reusable architecture patterns, and engineering guidelines
Ability to actively participate in technical discussions and collaborate with multinational teams.
Ability to communicate effectively with domestic stakeholders, explain technical decisions clearly, and facilitate collaboration across teams.
We are looking for a practical and hands-on architect who can work across cloud, automation, and AI domains.
The ideal candidate enjoys leading technical discussions, evaluating emerging technologies, and helping engineering teams make sound architectural decisions. They can balance innovation with practicality, maintainability, operational stability, and cost management while driving continuous improvement across multiple projects.
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