Principal System Scaling Engineer
BinanceJob Summary
Binance is seeking a Principal System Scaling Engineer to join their team in Asia/UAE, Dubai/Remote/Japan/Tokyo/Hong Kong. The ideal candidate will analyze current system architecture, design and implement scalable solutions, collaborate with engineering teams, and provide expert guidance on best practices for system scaling and performance optimization. They should have experience in designing and implementing scalable systems for high concurrency and large data volumes with high performance, strong understanding of distributed systems, cloud computing, and microservices architecture, and proficiency in programming languages such as Java, C++ or Rust. The candidate will also be responsible for conducting performance testing and tuning, mentoring and training internal teams, and staying up-to-date with the latest advancements in system scaling and related technologies. Binance offers a competitive salary, company benefits, and work-from-home arrangement. The position is available for full-time onsite or remote work.
Responsibilities:
- Analyse current system architecture and identify bottlenecks and areas for improvement.
- Design and implement scalable solutions to handle high concurrency and large data volumes with high performance.
- Collaborate with engineering teams to integrate scaling solutions into existing systems.
- Provide expert guidance on best practices for system scaling and performance optimisation.
- Conduct performance testing and tuning to ensure system reliability and efficiency.
- Mentor and train internal teams on scaling techniques and methodologies.
- Stay up-to-date with the latest advancements in system scaling and related technologies.
Requirements:
- B.S. or greater in Computer Science, Engineering, or a related field.
- Proven experience in designing and implementing scalable systems for high concurrency and large data volumes with high performance.
- Strong understanding of distributed systems, cloud computing, and microservices architecture.
- Proficiency in programming languages such as Java, C++ or Rust.
- Ready to be hands-on with the team to learn about requirements, past constraints, and inform detailed architecture.
- Experience with performance testing and tuning tools, and tracing tools.
- Excellent problem-solving skills and the ability to think critically and analytically.
- Strong communication skills and the ability to work collaboratively with cross-functional teams around the globe.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Better to have：
- A PhD, professorial, or a research background.
- Publications or research in the field of system scaling, high concurrency, high performance, low latency, or related areas.
- Experience with 24/7 systems and live upgrades with no side-effects or user impact.
- Experience in consulting roles, providing expert advice and solutions to clients.
- Low level, bare metal, Kernel level, system and network tuning experience.
- Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
