★Senior Fullstack engineer | Privacy-tech Start-up Company
- Business Level Japanese Required (N3 OK)
◆Flextime& Fully Remote Work Available
◆Location: Aichi
◆Own Products/Services
◆Annual Salary: 8 million ~ 15 million yen.
【About the company】
Develops support services for data utilization using privacy tech technology.
Provides AutoPrivacy, a service that builds a data clean room (an environment where data from multiple businesses is crossed and utilized while protecting privacy).
Development of Data Anonymizer, a service that automatically detects and masks personal information entered in ChatGPT prompts. (Beta version as of February 2024)
Development of support business related to the introduction of privacy-enhancing technologies (PETs) and the development of new services and products utilizing PETs.
Operates the PrivacyTech Institute, a website that disseminates information related to privacy tech.
With the mission of "Solving social issues with privacy tech," the company's purse is "Creating a discontinuous future, overwhelmingly.
【 Job Description】
As a privacy-tech company with deep expertise in privacy protection technologies and personal data protection, the company provides data infrastructure that facilitates the integration of personal data.
This product serves as a data platform that enables data collaboration while safeguarding the privacy of personal information. Following multiple proof-of-concept (PoC) projects with various partner companies, the company officially launched the service in August 2023.
In addition to data integration, the company is currently launching multiple new business ventures aimed at resolving all challenges related to the utilization of personal data. To support this rapid growth and pursue a superior customer experience, the company is looking to expand its team of Full-Stack Engineers who are deeply committed to high-quality development.
Since the company's products target enterprise-level clients, new feature development frequently occurs as part of the optimization process. In this environment, maintaining a structure that separates front-end and back-end development makes optimization difficult. Therefore, the company aims to maximize customer value and increase development speed by having engineers handle specific features in a "one-stop" fashion.
As the service and the market grow rapidly, the company is seeking full-stack engineers to build "Great" products that continue to exceed user expectations.
【Recruitment Background】
Under the company's mission, high-level technical challenges have already emerged—and are expected to continue emerging—as they work to resolve the conflicting issues of data privacy regulation and Generative AI utilization (the "data utilization dilemma").
In particular, with the commercialization of new products on the horizon, the company seeks to hire an individual with the technical prowess to lead the construction of a world-class, unprecedented architecture that fuses Confidential Computing with the Generative AI ecosystem.
Impact and Phase of Challenge
The company's new product is currently in the trial phase, and preparation is in full swing for a commercial release in the spring of 2026. During this rapid growth period, your experience and skills will directly drive the following non-linear transformations:
・Transforming the Business Revenue Structure: As the growth strategy focuses on shifting from solution-based revenue to a higher ratio of product-based revenue, you will support this strategy through your technical expertise.
・Implementation of Innovative Features: You will lead the back-end design, development, and operation of features with high competitive advantages, such as image generation APIs, diverse data masking, and the development of counter-measures against "Shadow AI."
・Realizing the Platform Vision: You will build the core foundation to realize "Confidential Computing as a Platform" (CC-platform), enabling privacy-preserving computation to be seamlessly integrated into any application.
【Responsibilities】
For the commercial release and subsequent platform expansion of the company's products, the following technical issues are expected to be addressed:
・Design and Implementation of High-Reliability, High-Security Backend Architecture: Building robust systems that maintain the highest security standards.
・Scalable Infrastructure & Application Integration: Constructing processing foundations capable of handling large-scale, high-load traffic and designing optimal integration with Python (FastAPI) applications.
・Full-Stack Optimization for Multi-tenant SaaS: Driving end-to-end optimization from the infrastructure layer (Azure/Google Cloud/AWS) to the application layer for a multi-tenant SaaS that handles highly confidential data.
・Leading Autonomous Product Development: Leading development initiatives by balancing business requirements with technical constraints, specifically performance and security.
【Development Environment】
・Product Development Languages: C++, Go, Python, TypeScript, FastAPI, React, , Remix Environments: PostgreSQL, Google Compute Engine, Cloud Run, Cloud SQL, AWS EC2, AWS Lambda, AWS Fargate, Azure VM
・R&D Core Technology Development Languages: C++, Python
・Common CI: GitHub Actions Monitoring Infrastructure: Prometheus, Grafana, Loki, Thanos, Uptime Kuma Environment Setup: Docker Compose, Kubernetes, Docker, Terraform Infrastructure: GCP, AWS, Azure, On-Premises (In-House GPU Environment)
・Toolset Source Code Management: GitHub Documentation: Notion, GitHub Communication: Slack, Discord, Figma Languages: C++, Go, Python, TypeScript, React, , Remix Environment: FastAPI, Hasura, PostgreSQL, Argo Workflow, Google Compute Engine, Google Kubernetes Engine, Cloud Run, Google App Engine, Cloud SQL, AWS EC2, AWS Fargate, Azure VM, Azure Kubernetes Service, gRPC, GraphQL
■Position Highlights
・Direct Contribution to Business Success: This is a highly rewarding phase where your technical achievements directly shape the future revenue structure of the company.
・At the Forefront of Privacy Tech: Backed by prominent partners like NVIDIA and approximately 2.1 billion JPY in funding, you will engage in product development using cutting-edge privacy technologies. This provides a stable environment to acquire highly specialized and advanced technical skills.
・High Level of Autonomy: Since the product is in its startup phase, you will have significant discretion in technical decision-making, including architecture design, technology stack selection, and development process improvements.
・Flexible Working Style:
・Full Remote & Flex-time: A work environment designed for a healthy balance with family life and personal hobbies.
・Generous Benefits: Includes the "F-Leave" system (one day of leave per month for any reason) and a remote work setup allowance, among others.
■Ideal Applicants
Empathy with Be Cool. Be Hacker. values
Feeling the mountain I'm climbing is too small, starting to want to challenge larger markets
Craving an environment where I can take on challenges big enough to stake my life on
Better at quickly creating things that resonate with customers than spending time pursuing professional design
CTO/M who's been despairing over small business products
Working in an environment where important tasks inevitably fall to me when needed
【 Requirements】
■Required
Meet two or more skills within the following four categories, or one exceptionally strong skill.
① Backend Architect
Experience designing, developing, and operating large-scale or high-load backend applications in commercial environments
Proficient in fundamental computer science knowledge, multiple languages, frameworks, and databases (RDB/NoSQL), with the ability to rationally determine appropriate architectures—such as microservices or modular monoliths—based on phase and requirements
② Enterprise Security / Domain Design
Experience designing and operating systems requiring extremely high security standards (information governance, access management) for large enterprises, including SaaS, finance, and healthcare.
Skilled at abstracting domain knowledge to translate complex business requirements and data confidentiality into system architecture, enabling the design of robust data models resilient to specification changes.
③ DevOps / SRE
Experience automating and stabilizing deployment flows for systems with complex dependencies using tools like Docker and Terraform
Understands the characteristics of cloud infrastructure (Azure, Google Cloud, AWS) and can autonomously propose and implement foundational improvements to ensure observability and resolve operational pain points
④ Business-Driven Tech Lead
Able to make decisions independently without engineering manager intervention, understanding not only the technical "how" but also the business "why"
Leads development by elevating the team's overall technical capabilities through code reviews and fostering a documentation culture, balancing short-term releases with long-term maintainability
【Working Time 】
Flextime System
【 Welfare 】
・ Full Social Insurance
・ Stock Option
・ Telecommuting System
【 Holiday 】
- Saturday/Sunday/National Holiday
- Annual Paid Leave
- New Year Holiday
- Parental Leave
- Special Paid Leave
- Bereavement Leave
- Summer Holiday
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