Remote Principal System Scaling Engineer

Summary

Join Binance, a leading global blockchain ecosystem, and contribute to the design and implementation of scalable solutions for our high-volume cryptocurrency exchange. You will analyze system architecture, identify bottlenecks, and collaborate with engineering teams to integrate scaling solutions. This role requires proven experience in designing scalable systems, proficiency in programming languages like Java, C++, or Rust, and a strong understanding of distributed systems and cloud computing. You will also mentor team members and stay current with advancements in system scaling. Binance offers competitive salaries, company benefits, and a work-from-home arrangement (depending on the role). We are committed to fostering a diverse and inclusive workplace.

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

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

Preferred Qualifications

• 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

Benefits

• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)