
Principal Backend Development Engineer
Bybit · Kuala Lumpur Tech Office
Applications are made on Bybit's own site. We never sit in the middle.
Job description
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. Key Responsibilities • Develop and maintain core market data modules • Design and optimize real-time market data computation and low-latency push pipelines • Tune system performance under high-concurrency, high-throughput scenarios to ensure accuracy and timeliness of market data • Participate in technical design reviews and code reviews • Build system observability infrastructure, including monitoring & alerting, distributed tracing, and logging systems • Participate in production incident investigation and post-mortem reviews Requirements • 3+ years of Go development experience; solid understanding of Go's concurrency model, memory model, and GC mechanics • Experience designing high-concurrency, low-latency systems; familiar with common performance bottlenecks and optimization techniques • Familiar with message queues (Kafka / Redis Streams, etc.) in data streaming architectures • Proficient with real-time data transport protocols such as WebSocket and gRPC • Strong engineering discipline — clean cod
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