【Hokkaido Sapporo 】Full Stack Engineer | Generative AI & Cybersecurity SaaS |

We are currently partnering with a fast-growing AI & Technology company in Japan that is expanding its Generative AI and Cybersecurity product development team and is now looking for Global Full Stack Engineers. This position offers the opportunity to join the development of a new in-house SaaS product in the Generative AI × Cybersecurity space, currently entering its global expansion phase.

The engineering team is building a platform focused on the secure enterprise adoption and monitoring of Generative AI, combining modern Web Application Development, AI technologies, data analytics, cybersecurity, and cloud infrastructure. Business-level Japanese and English are required for this position. Position Global Full Stack Engineer – Generative AI & Cybersecurity SaaS Locations The position is available at the following locations:

• Fukuoka / Hakata
• Sapporo
• Sendai Employment Type Full-time / Permanent Salary ¥6,000,000 – ¥10,800,000 JPY annually Final compensation will be determined based on the candidate’s current salary, skills, and professional experience.
• Salary review: Twice per year
• Annual bonus About the Position The company is currently developing and globally expanding a new SaaS product at the intersection of Generative AI and Cybersecurity. As a Full Stack Engineer, you will work hands-on with the product development team and contribute to both backend and frontend development. The position involves developing systems for collecting and analyzing Generative AI usage data, visualization and monitoring functionality, security-related features, integrations with major Generative AI technologies, and the cloud infrastructure supporting the platform. This is not only an implementation role. Engineers will have opportunities to contribute to API and database design, application architecture, cloud infrastructure, engineering quality, development processes, and the overall evolution of a new global product. You will work closely with Product Managers, designers, cybersecurity specialists, and other engineers in a highly collaborative environment.

Key Responsibilities

• Design and develop backend and frontend components using primarily Go, Python, and TypeScript
• Develop systems for collecting and analyzing Generative AI usage logs and related data
• Develop monitoring and data visualization functionality
• Build security-related functionality including prompt detection and anomaly detection
• Implement integrations with major Generative AI platforms and technologies
• Design and improve APIs, databases, and application architecture
• Design, build, and operate cloud infrastructure using AWS
• Conduct code reviews and continuously improve software quality
• Improve engineering practices and development processes within the team
• Collaborate with Product Managers, designers, cybersecurity specialists, and engineers on new functionality and product improvements
• Contribute hands-on to a new SaaS product during its early-stage growth and global expansion phase Requirements Required Experience & Skills
• 3+ years of professional Web Application Development experience using at least one of the following: Go / Golang Python TypeScript
• Experience using Git/GitHub for source control, code review, and team-based software development
• Experience developing, deploying, and operating applications in cloud environments such as AWS Language Requirements
• Japanese: Business level or above
• English: Business level or above Candidates must be comfortable communicating with local teams and stakeholders in Japanese while also collaborating with international customers and global team members in English. Preferred Experience & Skills
• Experience developing or operating applications utilizing Generative AI or Large Language Models (LLMs)
• Experience developing data platforms, log analytics systems, monitoring systems, or data visualization products
• Basic knowledge of cybersecurity, including areas such as threat detection, vulnerabilities, and attack methods
• Experience designing GraphQL, gRPC, or JSON-RPC APIs
• Experience with database design
• Experience designing, building, or operating AWS environments using services such as Lambda, ECS, and Cloud. Watch
• Experience developing products within small teams, startups, or early-stage/new-product environments Technology Stack Languages: Go, TypeScript Backend: Go, Gin, Clean Architecture Frontend: TypeScript, Next.js, React Testing: Go testing, Jest, Playwright (E2E), Chromatic Cloud & Infrastructure: AWS, ECS/Fargate, RDS, Cognito, S3, Cloud. Watch Databases & Middleware: PostgreSQL, Redis, Docker, Nginx CI/CD: GitHub Actions, AWS Code. Build Infrastructure as Code: Terraform, Terragrunt, AWS CDK Development Tools: GitHub, Microsoft Teams, Dependabot AI Development Tools: GitHub Copilot and other major Generative AI development tool Ideal Candidate We are looking for engineers who:
• Can approach complex requirements and highly uncertain technical challenges calmly and flexibly
• Have a strong interest in continuously learning emerging technologies, particularly Generative AI and Cybersecurity
• Can collaborate effectively in global and distributed working environments
• Take ownership of the product rather than focusing only on assigned development tasks
• Are interested in improving engineering processes and team culture in addition to writing software
• Enjoy working within small teams and contributing to products during their early growth stages What You Can Gain from This Role
• Hands-on experience developing a new SaaS product at the intersection of Generative AI and Cybersecurity
• Experience contributing to a product during its global expansion phase
• Opportunities to work with modern technologies including Go, TypeScript, React, AWS, Infrastructure as Code, and Generative AI
• Close collaboration with professionals across Engineering, Product Management, Design, and Cybersecurity
• Opportunities to contribute to architecture and technical decision-making rather than focusing only on implementation
• Exposure to both technology and business decision-making through collaboration with senior stakeholders Benefits Working Hours 10:00 – 19:00 60-minute break Holidays & Leave
• Five-day workweek (Saturday and Sunday off)
• National holidays
• Summer vacation
• Year-end / New Year holidays
• 10 days of paid leave granted upon joining
• Bereavement leave
• Special leave
• Maternity leave
• Childcare leave Benefits
• Corporate Defined Contribution Pension Plan
• Health Insurance
• Employees’ Pension Insurance
• Employment Insurance
• Workers’ Compensation Insurance Selection Process Document Screening First Interview Coding Test Final Interview Offer The selection process and number of interviews may vary depending on the candidate’s experience and circumstances.