Senior Software Development Engineer - NoSQL-ABase

March 19

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Description

• Experience in contributing to open-source projects, with a preference for those who have served as committers. • Experience in high-performance server-side programming, coupled with proficiency in utilizing tools like GDB/Perf for thorough analysis and optimization. • Familiarity with various open-source systems or components, including but not limited toRedis, Cassandra/ScyllaDB, leveldb/Rocksdb, Wiredtiger, Tcmalloc/Jemalloc, Brpc. Additionally, a background in developing distributed storage systems is highly valued. • Participation or awards in competitions within the database domain or other algorithm and engineering fields is a plus.

Requirements

• Demonstrated proficiency in computer fundamentals, including a solid understanding of computer architecture basics, and expertise in multithreading programming, network programming, and operating systems. • Hands-on experience in Modern C++/Go/Python development within the Linux environment. • In-depth understanding of distributed storage concepts, with a keen awareness of challenges in distributed storage systems. • Adherence to strong coding standards and a commitment to rigorous unit testing practices. • Clear and logical thinking, coupled with a product-oriented mindset, self-driven initiative, and strong project management skills.

Benefits

• Lead the development and maintenance of our's in-house online KV system, providing optimal performance, high availability, disaster recovery, and multi-regional functionality. • Optimize and enhance tailored scenarios for our, encompassing cross-regional multi-activity (CRDT), masterless high availability, efficient resource utilization, support for multiple engines, and cutting-edge edge storage solutions. • Drive the exploration and integration of emerging hardware and technologies to continually enhance the system's service levels, such as ZNS SSD/PMEM/RDMA/io_uring/Run-to-completion/AI auto-config, etc. • Shape and advance the NoSQL data ecosystem, contributing to key aspects such as data cold/hot sinking, backup/rollback processes, bulk loading, and seamless system data interoperability. • Contribute significantly to the development of platform-oriented KV products, incorporating features like Serverless support, automated operations, and robust monitoring and tracing systems