Senior Storage Engine Engineer (LSM/KV)

ByteDance

San Jose (CA)

On-site

USD 218,000 - 388,000

Full time

39 hours ago
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Job summary

ByteDance's LavaStore team builds a purpose-built local storage engine for large-scale cloud services. The role focuses on high-performance KV storage, file systems, and low-latency design across distributed backends.

You will work with a team that handles 100+ PB and billions of requests per second, solving complex storage challenges. The team values practical production ownership, systems research, and cross-functional collaboration in a fast-paced environment.

Qualifications

  • 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 Python or Shell.
  • Proficient in systems programming and IO performance tuning.
  • Understanding of storage systems and distributed systems fundamentals.
  • Excellent problem solving, communication, and teamwork.

Responsibilities

  • Participate in design and implementation of high-performance KV storage engines and file systems.
  • Explore next-generation KV storage architectures for low latency and high throughput.
  • Understand storage requirements across business scenarios and collaborate on solutions.

Skills

C/C++ programming
Python/Shell
Systems programming
Storage systems
Distributed systems
Problem solving & communication
Team collaboration

Education

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

Tools

RocksDB/LevelDB
Redis/Memcached/Cachelib

Job description

ByteDance's LavaStore team builds a purpose-built local storage engine for large-scale cloud services. The role focuses on high-performance KV storage, file systems, and low-latency design across distributed backends.

You will work with a team that handles 100+ PB and billions of requests per second, solving complex storage challenges. The team values practical production ownership, systems research, and cross-functional collaboration in a fast-paced environment.

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