Software Engineer - Backend

This role sits at the intersection of core platform engineering and new business development within a global leader in AI-powered domain expertise services. You will be responsible for building and scaling backend systems that extract and accumulate useful knowledge from diverse data sources, as well as developing high-quality software for new, high-impact business initiatives from the 0→1 phase.

Key Responsibilities

• Platform & Feature Development: Formulate development plans, design, implement, test, and operate web applications and backend APIs for both internal knowledge extraction platforms and new customer-facing products.

• Modeling & Architecture: Perform domain and data modeling focused on future scalability and product evolution. Design architectures that balance high quality with high development productivity.

• Engineering Productivity: Build systems to enhance developer experience, including schema-driven development, library creation, CI/CD pipelines, and automated testing.

• Continuous Improvement: Lead various automation efforts, establish operational processes, and maintain technical documentation to improve team productivity and product quality.

• Innovation & Technical Selection: Take responsibility for technology selection and the stable delivery of high-quality software, balancing business growth with technical investment and debt management.

• Leadership & Mentoring: Provide guidance, mentoring, and coaching to team members as needed to foster a high-performing engineering culture.

Requirements

Must-Have Skills:

• Experience: 5+ years of professional experience in web system development and maintenance.

• Programming: Practical development experience with at least one (preferably multiple) major languages such as Python, Java, Go, or Rust.

• Cloud & Infrastructure: Hands-on experience designing and building systems using AWS, GCP, or Azure.

• Containerization: Practical experience with Docker and other container technologies.

• Database Management: Experience in development and operation using Relational Databases (RDB).

• Code Quality: Proven experience in initiatives to improve code quality and team productivity, including technical selection and implementation.

• Language: Business-level Japanese proficiency (Equivalent to JLPT N2 and above); interviews will be conducted in Japanese.

Preferred Experiences:

• Architectural Patterns: Practical experience with DDD (Domain-Driven Design) or Clean Architecture.

• Modern Infrastructure: Experience with Kubernetes, Terraform (IaC), and Microservices architecture.