Infrastructure Engineer
Job Summary
The Infrastructure Engineer will design, build, and operate cloud (AWS) and on-premises infrastructure for a major FinTech/SaaS platform. This role focuses on maintaining system reliability, performance optimization, and implementing SLIs/SLOs to support a growing product ecosystem. You will work within an English-official team environment to enhance infrastructure efficiency and security.
Responsibilities
- Design and operate cloud and on-premises infrastructure
- Monitor system metrics and manage incident responses
- Optimize application and infrastructure performance
- Implement SLIs/SLOs to ensure service reliability
- Manage CI/CD pipelines and development environments
Required Skills
- AWS and Kubernetes expertise
- Experience with Data Warehousing (BigQuery/Snowflake/Redshift)
- Proficiency in Terraform and Infrastructure as Code
- Business-level English proficiency
- Practical knowledge of ELT processes
Job Details
### Major Duties
- Design/build/operate cloud (AWS) and on-premises infrastructure.
- Metrics maintenance and monitoring using Datadog and other tools, alert configuration, and incident response.
- Application and infrastructure performance evaluation and optimization.
- System development for fault response, detection, and prevention.
- Improve service reliability through the formulation and operation of SLIs/SLOs.
- Security operations and compliance for the entire infrastructure.
- Design, construction, and operation of platforms (CI/CD, development environment, test environment, etc.) to maximize development team productivity.
- Availability and reliability reviews from the design stage.
- Meeting regulatory requirements specific to the financial industry.
### Technology Stack
- Languages: Kotlin, Typescript, React
- Infrastructure: AWS, Kubernetes, Terraform
- Database: MySQL
- Middleware: Docker, Nginx, Consul, Redis
- Platform: AWS, On-Premise
### Expected Mindset
- Ability to identify problems and proactively promote solutions.
- Understanding of the impact of business management and accounting data on company growth.
- Ability to resolve business issues using technical means.
- Flexible learning and adoption of new technologies.
- Collaborative and transparent communication.
### Required Skills and Experience
- Experience implementing and operating a data warehouse (BigQuery, Snowflake, Amazon Redshift, DuckDB).
- Experience designing and building ELT processes.
### Desired Skills and Experience
- Experience with business management and accounting-related data.
- Experience using data catalog tools (e.g., OpenMetadata).
- Knowledge of DMBOK or practical experience in data governance.
- Basic knowledge of web applications.
- Experience building and utilizing AI agents.
- Experience using data conversion tools such as dbt/Dataform.
### Language Proficiency
- Japanese: N3 level (ability to communicate internally using translation tools).
- English: TOEIC 600 or higher (or equivalent).