Senior Distributed KV Storage Engine Engineer

ByteDance; San Jose (CA); On-site; USD 218,000 - 388,000; Full time

Job summary

ByteDance in San Jose is seeking a top‑tier systems engineer to help design and implement a high‑performance local KV storage engine and file system components for LavaStore. You will work on low-latency, scalable storage paths and collaborate across teams to meet demanding cloud workloads.

The role requires strong C/C++, systems programming, and familiarity with RocksDB/LevelDB ecosystems. You will contribute to distributed storage research and production‑grade implementations at scale.

Qualifications

• Bachelor’s or higher in CS/CE/EE with strong analytical and design skills.
• Proficient in C/C++ and familiar with Python or Shell scripting.
• Solid systems programming experience and IO performance tuning.
• Understanding of LSM trees, file systems, and distributed systems basics.
• Excellent problem solving, communication, and teamwork.

Responsibilities

• Participate in design and implementation of high‑performance KV storage engines and file systems.
• Explore next‑gen KV storage architectures for low latency and high throughput.
• Collaborate with business teams to select suitable storage solutions.

Skills

C/C++

Python

Shell

Multithreading

Distributed systems

Problem solving

Education

Bachelor's degree or higher in CS/CE/EE

PhD preferred

Tools

RocksDB

LevelDB

Redis

Memcached

Cachelib

Job description

ByteDance in San Jose is seeking a top‑tier systems engineer to help design and implement a high‑performance local KV storage engine and file system components for LavaStore. You will work on low-latency, scalable storage paths and collaborate across teams to meet demanding cloud workloads.

The role requires strong C/C++, systems programming, and familiarity with RocksDB/LevelDB ecosystems. You will contribute to distributed storage research and production‑grade implementations at scale.