Back-end Engineer, Trust & Safety (Go)

Company Overview We are developing and managing the dating app “Pairs,” designed for those seriously seeking a partner for a relationship or marriage. The service was launched in Japan in 2012, in Taiwan in 2013, and in South Korea in 2025. The total number of registered users exceeded 27 million (as of April 2026), and it is used by many people. Furthermore, over 900,000 people have found their significant other through Pairs.

Job Description The Platform Backend Team is responsible for developing a reliable and scalable infrastructure that supports the development of Pairs' features, providing components such as microservices and related components, and improving application security, development performance, and quality. Our goal is to drive Pairs to further growth. This position is for a Backend Engineer who will be fully dedicated to the Trust & Safety project within the Platform Backend Team. Specific tasks include continuous review and analysis of data on violators and malicious actors, risk assessment and its impact, and rapid implementation and improvement of necessary measures. We expect you to contribute to deterring malicious use and protecting users by designing, developing, and operating backend systems that support Trust & Safety operations, including detection, prevention, investigation, and response. Furthermore, you are expected to collaborate closely with stakeholders in the Trust & Safety domain and continuously improve the accuracy of measures and operational efficiency based on on-site knowledge and data. Through these efforts, you will contribute to creating an environment where users can use Pairs safely.

What You Will Do ・ Design, implement within Pairs, and operate systems aimed at reducing risks such as violations, malicious use, and policy breaches in Trust & Safety. ・ Independently review and analyze user behavior data, system logs, and measure results, assessing risk indicators and trends, the scale of problems, and the effectiveness of measures. ・ Based on the results of analysis and evaluation, continuously improve systems supporting Trust & Safety operations (detection, prevention, investigation, response) in accordance with changing risk patterns. ・ Collaborate with Trust & Safety stakeholders, data analysts, the product backend development team, the SRE team, the security team, and others to improve quality, performance, security, and operational efficiency, and to contribute to deterring illegal and malicious use, protecting users, and enhancing Pairs' reliability.

Basic Qualifications: Strong desire to improve development efficiency, performance, and respond to security incidents. Leadership and communication skills to effectively engage stakeholders and achieve results. Enthusiasm for learning and mastering AI-related technologies and experience in development using Coding Agent. 3+ years of experience in implementing, releasing, and operating commercial applications. Experience building commercial Web APIs running on public clouds such as AWS/Google Cloud. Experience building and designing various testing methods. Experience creating and operating commercial container images for web applications (dockerfile, installing necessary middleware, etc.). Basic knowledge of middleware commonly used in web applications, such as Nginx, MySQL. Japanese language: Business level or higher. English language: Conversational level or higher.

Preferred Qualifications: Experience independently analyzing user behavior data, system logs, and measure results, assessing risk indicators and trends, and the effectiveness of measures, while continuously improving detection, prevention, and response systems in rapidly changing risk areas such as fraud, abuse, and policy violations. Ability to independently extract, aggregate, and analyze data within a defined scope, even with support from data analysts, to assess problem scale, priorities, the validity of implemented measures, and measure effectiveness. Experience independently analyzing and evaluating in an environment where target user behavior and risk patterns are constantly changing in short cycles, and translating results into development and improvements. Experience/knowledge of designing databases and applications with scalability in mind for large data volumes and traffic. Experience improving development performance, code quality, documentation creation, and team productivity using AI development support tools. Creating application deployment scripts and dockerfiles in a containerized environment. Experience/knowledge of building public cloud infrastructure such as AWS/Google Cloud. Knowledge of fundamental web application security measures and their necessity.

Tools We Use: Programming Languages: Go, TypeScript/JavaScript, Python Tech Stack: MySQL, DynamoDB, Redis, Elasticsearch, Kubernetes, and various AWS and Google Cloud services, Terraform Development: Git, Github, Github Actions, Docker, Jira Cloud, Slack