Senior Principal 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

Own end-to-end technical solution design and delivery for company-wide technical initiatives

Lead the engineering implementation of AI capabilities, including but not limited to AI-assisted development, AI code review, AI observability analysis, and AI-driven operations automation

Proactively resolve complex technical challenges across business lines, driving improvements in efficiency and quality through technical means

Design and optimize high-concurrency, distributed system architectures, and explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection

Provide technical support and training to business teams, promoting the adoption and standardization of AI + engineering capabilities across the organization

Requirements

I. Core Engineering & Architecture

Strong coding fundamentals: proficiency in Go or Java concurrent programming, with deep understanding of design and optimization in high-concurrency scenarios

Distributed systems experience: hands-on experience with distributed services and distributed storage; familiarity with microservices architecture design

System optimization: solid knowledge of Linux OS; understanding of middleware internals and engineering practices (e.g., etcd, Nacos, Kafka)

Frameworks & protocols: proficiency in gRPC; experience with development and performance tuning is a plus

Troubleshooting skills: proficient with profiling tools, Arthas, and Linux CLI for system analysis and issue diagnosis

II. AI & Intelligence Engineering

AI engineering mindset: understanding of LLM fundamentals, capability boundaries, and practical engineering usage

Preferred — one or more of the following:

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