Tinder Seoul team is focused on enhancing user personalization and matching quality through ML/AI technologies. This role involves designing and implementing backend systems for ML/AI-based recommendation services, developing and operating Java/Kotlin-based Spring WebFlux applications, and integrating with distributed systems like ElasticSearch, Kafka, DynamoDB, Redis, and Flink. Key responsibilities include improving service performance and stability in high-traffic environments, supporting data-driven product improvements, and collaborating with global teams. The ideal candidate will have over 7 years of backend development experience, proficiency in Java/Kotlin and Spring/WebFlux, and experience with various distributed systems and cloud infrastructures.