SendaiFull Stack Engineer | Generative AI & Cybersecurity SaaS |
Job Summary
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:
Employment Type
Full-time / Permanent
Salary
JPY annually
Final compensation will be determined based on the candidates current salary skills and professional experience.
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
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 CloudWatch
Experience developing products within small teams startups or early-stage/new-product environments
Technology Stack
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
Working Hours
Holidays & Leave
Benefits
Selection Process
- Document Screening
- First Interview
- Coding Test
- Final Interview
- Offer
The selection process and number of interviews may vary depending on the candidates experience and circumstances.
Required Skills:
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 CloudWatch 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 React Testing: Go testing Jest Playwright (E2E) Chromatic Cloud & Infrastructure: AWS ECS/Fargate RDS Cognito S3 CloudWatch Databases & Middleware: PostgreSQL Redis Docker Nginx CI/CD: GitHub Actions AWS CodeBuild 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