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
Lead end-to-end technical solution design and drive implementation across the organization
Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.)
Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation
Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection
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
Ability to evaluate AI's impact on system stability, security, cost, and compliance from an architectural perspective
Clear understanding of AI's "assistive role" in engineering — avoiding over-reliance while leveraging its strengths
III. Experience & Education
Bachelor's degree or above
3+ years of relevant development experience
Strong communication skills and collaborative spirit
Preferred Qualifications
Hands-on experience implementing AI-assisted development/code review (Copilot, Claude, DeepSeek, etc.) at the engineering team level
Practical application of AI in log analysis, distributed tracing, performance profiling, and anomaly detection
Design experience with AI knowledge augmentation (RAG) or tooling systems based on internal data (code, logs, metrics, documentation)
Open-source project contributions
Sustained technical blog or knowledge-sharing track record
Nice-to-Have
Experience designing financial systems, trading systems, or high-reliability systems
AI-driven observability, automated operations, or stability engineering experience
Deep familiarity with open-source middleware internals (Redis, Kafka, etc.)
Microservice governance, service discovery, and configuration center design experience
Proven track record in high-performance architecture design or AI engineering implementation
Core Competency Matrix
Technical Skills (High Priority):…