At SendBird, we are building the most scalable and powerful chat API in the world. We have customers from over 150 countries around the world serving a truly wide-range of use cases across communities, marketplaces, on-demand services, games, and ecommerce. We are working with some of the hottest (and the toughest) customers in every industry, and since graduating Y Combinator in 2016, SendBird has become one of the fastest growing startup in Silicon Valley. SendBird is headquartered in Redwood City, California and has its APAC office in Seoul, South Korea. The engineering team at SendBird is solving some of the biggest challenges related to building a reliable, feature-rich, and scalable real-time conversational experiences across different platforms. The challenges range from building a platform that can scale to some of the largest userbase across distributed environments with optimal latency, creating a feature-rich, yet lightweight and high performance client-side SDK, and building products and services that can help customers incorporate real-time conversational technologies more rapidly. You will be participating in building the best real-time conversational products and solutions possible. You are expected to learn and expand on your engineering knowledge and experiences to build a world-class product that solves difficult problems of our customers, and make it as easy as possible for the customers to harness the power of real-time chat.
Build a large scale distributed and scalable real-time messaging service Design simple, intuitive API to solve complex architectural problems Write customer-centric documentation on API and messaging services Architect and build efficient servers on the globally distributed infrastructure Deploy and operate server clusters within a cloud environment Experience working on real-time chat/messaging system Expert-level knowledge of Java or Python with at least 2 years of experience developing, shipping, and maintaining real-time system Have deep understand multi-threading and high performance distributed architecture Able to work independently and drive results Ability to find the root cause of problems with a minimal set of information and data points Ability to find the optimal solution given the resource constraints, and understands the concepts of under-engineering and over-engineering Experience building chat/messaging infrastructures Experience handling massive concurrent connections and processing large-scale traffic Understanding of Unix/Linux systems Understanding of Python, Java, and Event-Driven Frameworks Understanding of TCP/IP and network programming Understanding of RDBMS, NoSQL and distributed databases Understanding of server virtualization, global infrastructures, load balancing, and handling massive data traffic Awards from programming competitions (e.g., ACM ICPC, IOI, etc.)
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