> Markdown version of [/jobs/ext/4598434-software-development-engineer-storage-engine](https://www.wearedevelopers.com/jobs/ext/4598434-software-development-engineer-storage-engine). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer, Storage Engine - **Company:** Beijing ByteDance Technology Co Ltd - **Location:** San Jose, CA, United States - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Cloud Computing, Databases, Computer Engineering, Software Debugging, File Systems, Distributed Data Store, Distributed Systems, Fault Tolerance, Python (Programming Language), Memcached, Node.Js, Open Source Technology, Performance Tuning, Redis, Software Engineering, Database Engines, System Programming, Multithreading, Caching, Event Driven Architecture, Information Technology, Low Latency, Asynchronous Programming - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-development-engineer-storage-engine-san-jose-ca--e7684fa8-5bef-4071-b9e7-0630facd363e ## About the Role Software Development, Software Engineering, Performance Engineering, Caching, Cloud Computing, File Systems, Database Technology, Distributed Databases, Large-Scale Systems, High Throughput, * Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or related majors; * Strong problem analysis, conceptual abstraction and design skills; proficient in C/C++, familiar with at least one of Python / Shell or similar languages; * Proficient in systems programming, including system calls and library functions, network/multithreaded programming models, debugging, and IO performance tuning tools and techniques; * In-depth understanding of storage system architectures and principles, such as LSM Tree, file systems (ext4/bluefs), etc.; * Solid understanding of distributed systems fundamentals, including consensus, replication, consistency models, and fault tolerance; * Excellent ability to identify and solve problems, good communication skills, team collaboration spirit, and a strong desire to learn new technologies., * PhD 's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or related majors; * Experience with asynchronous programming models and event-driven architectures, including callbacks, futures/promises, and coroutines; * Prior development experience in any of the following: large-scale distributed storage / caching / database systems / single-node KV storage engines / single-node file systems; * Familiarity with one or more common open-source projects such as RocksDB / LevelDB / Redis / Memcached / Cachelib; Prior RocksDB development experience is a plus; * Prior development experience with storage-compute disaggregation architectures is a plus. ## Description * Participate in the design and implementation of high-performance KV storage engines and file systems for large-scale distributed storage & database system backends; * Explore the design and evolution of next-generation KV storage engine architectures to ensure low latency and high throughput; * Deeply understand storage requirements across business scenarios, and collaborate with business teams to find the most suitable storage solutions.Minimum Qualifications