Software Engineer, Data Storage & Data Lake (Bytedance Singapore)

About Us Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.​ Why Join ByteDance Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.​ As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.​ Diversity & Inclusion​ ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​ Job highlights Career growth opportunity, Paid leave, Flat organization Responsibilities About the team The Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in our recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions. What you will be doing: 1. Responsible for the design and development of distributed database Hbase-related components. 2. Responsible for the design and development of single-node LSM engine Rocksdb-related components. 3. Design and implement an offline/real-time data architecture for large-scale recommendation systems. 4. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model. 5. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems. 6. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems. Qualifications Minimum Qualifications: - Bachelor's Degree or above, majoring in Computer Science, or related fields, with 4+ years of relevant development experience in the field with a strong programming ability, and proficiency in one of C/C++/Java; - In-depth understanding of the architecture and principles of distributed systems; - A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data. Preferred Qualifications: - Embrace the use of open-source software, possess a track record of involvement in open-source projects, and demonstrate a keen enthusiasm for engaging with the latest and most advanced technologies. - Exhibit knowledge in distributed consensus algorithms like Paxos/Raft. - Show familiarity with distributed transaction models. - Demonstrate proficiency in typical storage engines, including RocksDB, and have a deep understanding of the inner workings of Redis at the low-level code level. - Display expertise in low-level aspects of operating systems, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical component