Tinder Seoul is seeking a Senior Backend Software Engineer to join their team focused on enhancing user personalization and matching quality through ML/AI technology. The role is central to Tinder's core recommendation system, which delivers real-time personalized results based on diverse user behavior data.
The engineering team in Korea collaborates with US headquarters and global ML, data, and PM organizations to design and develop systems that consider scalability and stability in high-traffic environments. As an engineer, you'll play a crucial technical role in ensuring machine learning models and recommendation logic are effectively implemented in the product.
The position requires expertise in Java/Kotlin and Spring WebFlux, along with experience in distributed systems including ElasticSearch, Kafka, DynamoDB, and Redis. You'll be working on critical backend infrastructure that powers Tinder's matching algorithms and recommendation systems, handling large-scale traffic while maintaining high performance and reliability.
This is an excellent opportunity for an experienced backend engineer who is passionate about working with cutting-edge ML/AI technologies and distributed systems at scale. The role offers the chance to work with a global team, impact millions of users worldwide, and contribute to one of the world's leading dating platforms. The hybrid work environment in Seoul provides flexibility while maintaining collaborative opportunities with the team.