Backend Development Engineer

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.   Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.   Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities  

1. Lead end-to-end technical solution design and drive implementation across the organization
2. Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.)
3. Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation
4. Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection
5. Provide technical guidance and training to business teams, driving the adoption and standardization of AI + engineering capabilities

Requirements   Must-Have   I. Core Engineering & Architecture  

• Proficient in Go or Java concurrent programming with deep understanding of high-concurrency system design and optimization
• Hands-on experience with distributed services and distributed storage; familiar with microservice architecture design
• Solid knowledge of Linux OS and system-level understanding of middleware (etcd, Nacos, Kafka)
• Expert-level proficiency in gRPC framework with development and performance tuning experience
• Skilled in using profiling tools, Arthas, and Linux command-line utilities for system analysis and troubleshooting

II. AI & Intelligent Systems  

• AI engineering mindset with understanding of LLM fundamentals, capability boundaries, and practical engineering applications